Security and Organization Within IoT and Smart Cities:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Milton
Taylor & Francis Group
2020
|
| Online Access: | DE-29 |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 Online-Ressource (295 Seiten) |
| ISBN: | 9781000293173 |
Staff View
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| 245 | 1 | 0 | |a Security and Organization Within IoT and Smart Cities |
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| 505 | 8 | |a Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgement -- About the Editors -- Contributors -- Chapter 1 An Overview of the Artificial Intelligence Evolution and Its Fundamental Concepts, and Their Relationship with IoT Security -- 1.1 Introduction -- 1.2 Artificial Intelligence Fundamental Concepts -- 1.3 AI Technologies and Evolution -- 1.4 AI Technologies and IoT -- 1.5 Discussion -- 1.6 Future Trends -- 1.7 Conclusions -- References -- Chapter 2 Smart City: Evolution and Fundamental Concepts -- 2.1 Smart City -- 2.2 Characteristics of a Smart City -- 2.2.1 Smart Energy -- 2.2.2 Smart Data -- 2.2.3 Smart Transport -- 2.2.4 Smart Infrastructure -- 2.2.5 Connected Devices -- 2.2.6 Connected Mobility -- 2.3 Components of Smart City -- 2.3.1 Economy -- 2.3.2 Governance -- 2.3.3 Environment -- 2.3.4 Living -- 2.3.5 People -- 2.3.6 Mobility -- 2.4 Roadmap -- 2.5 Application of Smart Cities -- 2.5.1 Health Management -- 2.5.2 Smart Transportation -- 2.5.3 Waste Management -- 2.5.4 Surveillance -- 2.5.5 Water Management -- 2.5.6 Smart Parking -- 2.5.7 Data Monitoring -- 2.5.7.1 Three Layers of Data -- 2.5.7.2 Issues for the City Management -- 2.5.7.3 Data Challenges -- 2.5.8 Self-Driving Cars -- 2.5.9 Smart Street Lightning -- 2.5.9.1 Key Takeaways for Considering Smart Lighting -- 2.5.10 Emergency Services -- 2.5.11 Smart Energy Management -- 2.5.12 Smart Agriculture -- 2.5.12.1 IoT Applications for Smart Farming -- 2.5.13 Wearable Devices -- 2.5.14 Smart Education -- 2.5.15 Underground Tunnelling -- 2.5.15.1 Tunnelling Renaissance -- 2.6 Future of Smart Cities -- 2.6.1 Innovative Technologies for Smart City -- 2.6.2 Better Quality of Life -- 2.7 Technologies Evolving Smart Cities -- 2.7.1 Smart Cities 1.0: Surveillance, Digital and Eco-Friendly Cities | |
| 505 | 8 | |a 2.7.2 Smart Cities 2.0: Sustainable, and Resilient Cities -- 2.7.3 Smart Cities 3.0: Green, Rightful Cities -- References -- Chapter 3 Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment -- 3.1 Introduction -- 3.2 IoT Data Characteristics -- 3.3 Different types of security attacks in the IoT network -- 3.4 Smart Home Security Threats -- 3.5 Different AI/ML models to Combat IoT security attacks -- 3.5.1 classification -- 3.5.1.1 KNN (K-nearestneighbors) -- 3.5.1.2 Classification based on naïve Bayes -- 3.5.1.3 Support Vector Machine (SVM) -- 3.6 Summary -- References -- Chapter 4 A Conceptual Model for Optimal Resource Sharing of Networked Microgrids Focusing Uncertainty: Paving the Path to Eco-Friendly Smart Cities -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Conceptual System Model -- Algorithm 1-1: -- 4.4 Conclusion -- References -- Chapter 5 A Novel Framework for a Cyber Secure Smart City -- 5.1 Introduction -- 5.2 Cybersecurity in Smart City -- 5.3 Security in Governance, Social and Economic Perspective -- 5.3.1 Administration Factors -- 5.3.2 Need for Security Testing -- 5.3.3 Dangers to Basic Foundations -- 5.3.4 Smart Mobility Security and Protection Necessities -- 5.3.5 Vitality and Utility Improvement -- 5.3.6 Social and Monetary Components -- 5.3.7 Challenges in Smart City Communication -- 5.3.8 Singular Privacy -- 5.4 Privacy Protection in Smart Cities -- 5.4.1 Privacy Models -- 5.5 Cyber Threats and Countermeasures in Smart Cities -- 5.6 A Novel Framework for Cyber Secure Smart City -- 5.7 Conclusion -- References -- Chapter 6 Contemplating Security Challenges and Threats for Smart Cities -- 6.1 Introduction -- 6.2 Privacy AND Security Concerns In Smart City -- 6.2.1 Why Is Privacy a Concern in Smart City? -- 6.2.2 Consequences of Privacy Concerns -- 6.2.2.1 Bluetooth Technology | |
| 505 | 8 | |a 6.2.2.2 Health Sector -- 6.2.2.3 Big Data Analytics -- 6.2.2.4 Cloud System -- 6.2.2.5 Internet of Things -- 6.2.2.6 Smart Card -- 6.2.2.7 Smart Tourism -- 6.2.2.8 Drones -- 6.2.2.9 Mobile Applications -- 6.2.2.10 E-Govennance -- 6.2.2.11 Online Social Networks -- 6.2.2.12 Biometrics -- 6.2.3 Concept and Cardinals of Smart City in the World -- 6.2.4 Why Is Security a Concern in Smart City? -- 6.2.5 Security Threats and Challenges [55] -- 6.2.6 Cybersecurity Challenges in Smart Cities [54] -- 6.2.7 Countermeasures and Probable Strategy for Security Concerns [57] -- 6.2.8 Countermeasures for Privacy Concerns -- 6.2.8.1 Sensing as a Service Model -- 6.2.8.2 5D Model for Privacy -- 6.2.8.3 User Awareness -- 6.2.8.4 Privacy Protection in RFID -- 6.2.8.5 Data Aggregation -- 6.2.8.6 Stakeholder Model -- 6.2.8.7 2 × 2 Framework -- 6.2.8.8 Mobile Cloud Framework -- 6.2.8.9 Changing Pseudonyms in Intelligent Transport System -- 6.2.8.10 Homomorphic Encryption -- 6.2.8.11 Three-Layer Model -- 6.2.8.12 Linear Algebra -- 6.2.8.13 Continuous Streaming Data -- 6.2.8.14 Protection of DBMS from Insider Attacks -- 6.2.8.15 Anonymization of Transaction Data -- 6.2.8.16 D-Mash Model -- 6.2.8.17 Lattice Based Secure Cryptosystem -- 6.2.8.18 Taxonomy Diagram -- 6.3 Tabular representations -- 6.4 Open Issues -- 6.5 Conclusions and Recommendations -- References -- Chapter 7 Self-Monitoring Obfuscated IoT Network -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Proposed Method -- 7.3.1 The Inter-Module Steganography Protocol -- 7.3.1.1 Control Signals Embedding Technique -- 7.3.2 Behaviour Learning -- 7.4 Results and Analysis -- 7.5 Conclusion -- References -- Chapter 8 Introduction to Side Channel Attacks and Investigation of Power Analysis and Fault Injection Attack Techniques -- 8.1 Introduction -- 8.1.1 Brief History of Side ChannelAttacks | |
| 505 | 8 | |a 8.2 State of the Art in Hardware Security -- 8.2.1 Meltdown Attack -- 8.2.2 Spectre Attack -- 8.2.3 Acoustic Cryptanalysis -- 8.2.4 Page Cache Attack -- 8.3 Side Channel Attack Model -- 8.3.1 Classification of side channel attacks -- 8.3.1.2 Invasive vs Non-invasive: -- 8.4 Power Analysis Techniques -- 8.4.1 Simple Power Analysis and Differential Power Analysis -- 8.4.2 Differential Power Analysis -- 8.4.3 Correlation Power Analysis -- 8.4.3.1 Steps to Perform CPA Attack -- 8.4.4 Mutual Information Analysis -- 8.4.5 Horizontal and Vertical Power Attack -- 8.4.6 Combined Implementation Attack -- 8.4.6.1 Basic Principle of Combining Active and Passive Attacks -- 8.5 Non-Invasive Active Attacks -- 8.5.1 Fault Injection Attacks -- 8.5.2 Effects of Fault Injection Attacks -- 8.5.3 Effect of Fault Injection Propagation -- 8.6 Fault Injection Attacks -- 8.6.1 Power Tampering/Voltage Glitching -- 8.7 Hands-On-Experiments: Fault Injection Attacks -- 8.7.1 Objectives -- 8.7.2 Method -- 8.7.3 Leaning Outcome -- 8.8 Exercises -- 8.8.1 Short Answers Type Questions -- References -- Chapter 9 Collaborative Digital Forensic Investigations Model for Law Enforcement -- 9.1 Introduction -- 9.2 Literature Review -- 9.2.1 Definitions of Digital Forensics -- 9.2.2 Digital Forensics for Law Enforcement -- 9.2.3 The Evolution of Existing Digital Forensic Investigation (DFI) Models -- 9.2.4 ISO Standards -- 9.3 Towards a new Collaborative DFI Model -- 9.3.1 Why ROP Needs a New Model -- 9.3.2 Phases within the CDFIR Model -- 9.3.3 Readiness -- 9.3.4 Initialization -- 9.3.5 Acquisition -- 9.3.6 Investigation -- 9.3.7 Rules and Responsibilities RACI Matrix -- 9.3.8 Facilitating Collaboration -- 9.4 Conclusion and Recommendations -- Acknowledgements -- References -- Chapter 10 Understanding Security Requirements and Challenges in the Industrial Internet of Things: A Review | |
| 505 | 8 | |a 10.1 Introduction -- 10.2 Privacy in IoT -- 10.2.1 Existing Solution and Discussion -- 10.3 Lightweight Cryptographic Framework for IoT -- 10.3.1 Existing Solution and Discussion -- 10.4 Conclusion -- References -- Chapter 11 5G Security and the Internet of Things -- 11.1 Introduction -- 11.2 Security Risks -- 11.3 Securing 5G -- 11.4 Future of 5G -- 11.5 Conclusion -- References -- Chapter 12 The Problem of Deepfake Videos and How to Counteract Them in Smart Cities -- 12.1 Introduction -- 12.2 How Deepfakes are Made -- 12.3 The motivation to create Deepfakes -- 12.4 The security concerns around Deepfakes -- 12.5 How Organisations are Counteracting the Use of Deep Fake Technology -- 12.6 Deepfakes and the Law -- 12.7 The Future of Deepfakes -- 12.8 Conclusion -- References -- Bibliography -- Chapter 13 The Rise of Ransomware Aided by Vulnerable IoT Devices -- 13.1 Introduction -- 13.2 Attack Vectors -- 13.2.1 Email attachments and links -- 13.2.2 Online advertisements -- 13.2.3 Downloads -- 13.2.4 Water Hole Attacks -- 13.2.5 Exploit Kits -- 13.2.6 Botnets -- 13.3 Evolution of Ransomware -- 13.3.1 1989 -- 13.3.2 2005 -- 13.3.3 2006 -- 13.3.4 2007 -- 13.3.5 2012 -- 13.3.6 2013 -- 13.3.7 2014 -- 13.3.8 2015 -- 13.3.9 2016 -- 13.3.10 2017 -- 13.3.11 2018 -- 13.4 How to secure against Ransomware -- 13.5 Future of Ransomware -- 13.6 Conclusion -- References -- Chapter 14 Security Issues in Self-Driving Cars within Smart Cities -- 14.1 Introduction -- 14.2 Risks Associated with Connected and Autonomous Vehicles -- 14.3 Future Developments -- 14.4 Conclusion -- References -- Chapter 15 Trust-Aware Crowd Associated Network-Based Approach for Optimal Waste Management in Smart Cities -- 15.1 Introduction -- 15.2 Related Work and Problem Definitions -- 15.2.1 Crowd Associated Network -- 15.3 Proposed Method -- 15.3.1 Overview -- 15.3.2 Network Architecture | |
| 505 | 8 | |a 15.3.3 Data Transmission | |
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| 700 | 1 | |a Sadiq, Ali Safa |e Sonstige |4 oth | |
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| contents | Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgement -- About the Editors -- Contributors -- Chapter 1 An Overview of the Artificial Intelligence Evolution and Its Fundamental Concepts, and Their Relationship with IoT Security -- 1.1 Introduction -- 1.2 Artificial Intelligence Fundamental Concepts -- 1.3 AI Technologies and Evolution -- 1.4 AI Technologies and IoT -- 1.5 Discussion -- 1.6 Future Trends -- 1.7 Conclusions -- References -- Chapter 2 Smart City: Evolution and Fundamental Concepts -- 2.1 Smart City -- 2.2 Characteristics of a Smart City -- 2.2.1 Smart Energy -- 2.2.2 Smart Data -- 2.2.3 Smart Transport -- 2.2.4 Smart Infrastructure -- 2.2.5 Connected Devices -- 2.2.6 Connected Mobility -- 2.3 Components of Smart City -- 2.3.1 Economy -- 2.3.2 Governance -- 2.3.3 Environment -- 2.3.4 Living -- 2.3.5 People -- 2.3.6 Mobility -- 2.4 Roadmap -- 2.5 Application of Smart Cities -- 2.5.1 Health Management -- 2.5.2 Smart Transportation -- 2.5.3 Waste Management -- 2.5.4 Surveillance -- 2.5.5 Water Management -- 2.5.6 Smart Parking -- 2.5.7 Data Monitoring -- 2.5.7.1 Three Layers of Data -- 2.5.7.2 Issues for the City Management -- 2.5.7.3 Data Challenges -- 2.5.8 Self-Driving Cars -- 2.5.9 Smart Street Lightning -- 2.5.9.1 Key Takeaways for Considering Smart Lighting -- 2.5.10 Emergency Services -- 2.5.11 Smart Energy Management -- 2.5.12 Smart Agriculture -- 2.5.12.1 IoT Applications for Smart Farming -- 2.5.13 Wearable Devices -- 2.5.14 Smart Education -- 2.5.15 Underground Tunnelling -- 2.5.15.1 Tunnelling Renaissance -- 2.6 Future of Smart Cities -- 2.6.1 Innovative Technologies for Smart City -- 2.6.2 Better Quality of Life -- 2.7 Technologies Evolving Smart Cities -- 2.7.1 Smart Cities 1.0: Surveillance, Digital and Eco-Friendly Cities 2.7.2 Smart Cities 2.0: Sustainable, and Resilient Cities -- 2.7.3 Smart Cities 3.0: Green, Rightful Cities -- References -- Chapter 3 Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment -- 3.1 Introduction -- 3.2 IoT Data Characteristics -- 3.3 Different types of security attacks in the IoT network -- 3.4 Smart Home Security Threats -- 3.5 Different AI/ML models to Combat IoT security attacks -- 3.5.1 classification -- 3.5.1.1 KNN (K-nearestneighbors) -- 3.5.1.2 Classification based on naïve Bayes -- 3.5.1.3 Support Vector Machine (SVM) -- 3.6 Summary -- References -- Chapter 4 A Conceptual Model for Optimal Resource Sharing of Networked Microgrids Focusing Uncertainty: Paving the Path to Eco-Friendly Smart Cities -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Conceptual System Model -- Algorithm 1-1: -- 4.4 Conclusion -- References -- Chapter 5 A Novel Framework for a Cyber Secure Smart City -- 5.1 Introduction -- 5.2 Cybersecurity in Smart City -- 5.3 Security in Governance, Social and Economic Perspective -- 5.3.1 Administration Factors -- 5.3.2 Need for Security Testing -- 5.3.3 Dangers to Basic Foundations -- 5.3.4 Smart Mobility Security and Protection Necessities -- 5.3.5 Vitality and Utility Improvement -- 5.3.6 Social and Monetary Components -- 5.3.7 Challenges in Smart City Communication -- 5.3.8 Singular Privacy -- 5.4 Privacy Protection in Smart Cities -- 5.4.1 Privacy Models -- 5.5 Cyber Threats and Countermeasures in Smart Cities -- 5.6 A Novel Framework for Cyber Secure Smart City -- 5.7 Conclusion -- References -- Chapter 6 Contemplating Security Challenges and Threats for Smart Cities -- 6.1 Introduction -- 6.2 Privacy AND Security Concerns In Smart City -- 6.2.1 Why Is Privacy a Concern in Smart City? -- 6.2.2 Consequences of Privacy Concerns -- 6.2.2.1 Bluetooth Technology 6.2.2.2 Health Sector -- 6.2.2.3 Big Data Analytics -- 6.2.2.4 Cloud System -- 6.2.2.5 Internet of Things -- 6.2.2.6 Smart Card -- 6.2.2.7 Smart Tourism -- 6.2.2.8 Drones -- 6.2.2.9 Mobile Applications -- 6.2.2.10 E-Govennance -- 6.2.2.11 Online Social Networks -- 6.2.2.12 Biometrics -- 6.2.3 Concept and Cardinals of Smart City in the World -- 6.2.4 Why Is Security a Concern in Smart City? -- 6.2.5 Security Threats and Challenges [55] -- 6.2.6 Cybersecurity Challenges in Smart Cities [54] -- 6.2.7 Countermeasures and Probable Strategy for Security Concerns [57] -- 6.2.8 Countermeasures for Privacy Concerns -- 6.2.8.1 Sensing as a Service Model -- 6.2.8.2 5D Model for Privacy -- 6.2.8.3 User Awareness -- 6.2.8.4 Privacy Protection in RFID -- 6.2.8.5 Data Aggregation -- 6.2.8.6 Stakeholder Model -- 6.2.8.7 2 × 2 Framework -- 6.2.8.8 Mobile Cloud Framework -- 6.2.8.9 Changing Pseudonyms in Intelligent Transport System -- 6.2.8.10 Homomorphic Encryption -- 6.2.8.11 Three-Layer Model -- 6.2.8.12 Linear Algebra -- 6.2.8.13 Continuous Streaming Data -- 6.2.8.14 Protection of DBMS from Insider Attacks -- 6.2.8.15 Anonymization of Transaction Data -- 6.2.8.16 D-Mash Model -- 6.2.8.17 Lattice Based Secure Cryptosystem -- 6.2.8.18 Taxonomy Diagram -- 6.3 Tabular representations -- 6.4 Open Issues -- 6.5 Conclusions and Recommendations -- References -- Chapter 7 Self-Monitoring Obfuscated IoT Network -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Proposed Method -- 7.3.1 The Inter-Module Steganography Protocol -- 7.3.1.1 Control Signals Embedding Technique -- 7.3.2 Behaviour Learning -- 7.4 Results and Analysis -- 7.5 Conclusion -- References -- Chapter 8 Introduction to Side Channel Attacks and Investigation of Power Analysis and Fault Injection Attack Techniques -- 8.1 Introduction -- 8.1.1 Brief History of Side ChannelAttacks 8.2 State of the Art in Hardware Security -- 8.2.1 Meltdown Attack -- 8.2.2 Spectre Attack -- 8.2.3 Acoustic Cryptanalysis -- 8.2.4 Page Cache Attack -- 8.3 Side Channel Attack Model -- 8.3.1 Classification of side channel attacks -- 8.3.1.2 Invasive vs Non-invasive: -- 8.4 Power Analysis Techniques -- 8.4.1 Simple Power Analysis and Differential Power Analysis -- 8.4.2 Differential Power Analysis -- 8.4.3 Correlation Power Analysis -- 8.4.3.1 Steps to Perform CPA Attack -- 8.4.4 Mutual Information Analysis -- 8.4.5 Horizontal and Vertical Power Attack -- 8.4.6 Combined Implementation Attack -- 8.4.6.1 Basic Principle of Combining Active and Passive Attacks -- 8.5 Non-Invasive Active Attacks -- 8.5.1 Fault Injection Attacks -- 8.5.2 Effects of Fault Injection Attacks -- 8.5.3 Effect of Fault Injection Propagation -- 8.6 Fault Injection Attacks -- 8.6.1 Power Tampering/Voltage Glitching -- 8.7 Hands-On-Experiments: Fault Injection Attacks -- 8.7.1 Objectives -- 8.7.2 Method -- 8.7.3 Leaning Outcome -- 8.8 Exercises -- 8.8.1 Short Answers Type Questions -- References -- Chapter 9 Collaborative Digital Forensic Investigations Model for Law Enforcement -- 9.1 Introduction -- 9.2 Literature Review -- 9.2.1 Definitions of Digital Forensics -- 9.2.2 Digital Forensics for Law Enforcement -- 9.2.3 The Evolution of Existing Digital Forensic Investigation (DFI) Models -- 9.2.4 ISO Standards -- 9.3 Towards a new Collaborative DFI Model -- 9.3.1 Why ROP Needs a New Model -- 9.3.2 Phases within the CDFIR Model -- 9.3.3 Readiness -- 9.3.4 Initialization -- 9.3.5 Acquisition -- 9.3.6 Investigation -- 9.3.7 Rules and Responsibilities RACI Matrix -- 9.3.8 Facilitating Collaboration -- 9.4 Conclusion and Recommendations -- Acknowledgements -- References -- Chapter 10 Understanding Security Requirements and Challenges in the Industrial Internet of Things: A Review 10.1 Introduction -- 10.2 Privacy in IoT -- 10.2.1 Existing Solution and Discussion -- 10.3 Lightweight Cryptographic Framework for IoT -- 10.3.1 Existing Solution and Discussion -- 10.4 Conclusion -- References -- Chapter 11 5G Security and the Internet of Things -- 11.1 Introduction -- 11.2 Security Risks -- 11.3 Securing 5G -- 11.4 Future of 5G -- 11.5 Conclusion -- References -- Chapter 12 The Problem of Deepfake Videos and How to Counteract Them in Smart Cities -- 12.1 Introduction -- 12.2 How Deepfakes are Made -- 12.3 The motivation to create Deepfakes -- 12.4 The security concerns around Deepfakes -- 12.5 How Organisations are Counteracting the Use of Deep Fake Technology -- 12.6 Deepfakes and the Law -- 12.7 The Future of Deepfakes -- 12.8 Conclusion -- References -- Bibliography -- Chapter 13 The Rise of Ransomware Aided by Vulnerable IoT Devices -- 13.1 Introduction -- 13.2 Attack Vectors -- 13.2.1 Email attachments and links -- 13.2.2 Online advertisements -- 13.2.3 Downloads -- 13.2.4 Water Hole Attacks -- 13.2.5 Exploit Kits -- 13.2.6 Botnets -- 13.3 Evolution of Ransomware -- 13.3.1 1989 -- 13.3.2 2005 -- 13.3.3 2006 -- 13.3.4 2007 -- 13.3.5 2012 -- 13.3.6 2013 -- 13.3.7 2014 -- 13.3.8 2015 -- 13.3.9 2016 -- 13.3.10 2017 -- 13.3.11 2018 -- 13.4 How to secure against Ransomware -- 13.5 Future of Ransomware -- 13.6 Conclusion -- References -- Chapter 14 Security Issues in Self-Driving Cars within Smart Cities -- 14.1 Introduction -- 14.2 Risks Associated with Connected and Autonomous Vehicles -- 14.3 Future Developments -- 14.4 Conclusion -- References -- Chapter 15 Trust-Aware Crowd Associated Network-Based Approach for Optimal Waste Management in Smart Cities -- 15.1 Introduction -- 15.2 Related Work and Problem Definitions -- 15.2.1 Crowd Associated Network -- 15.3 Proposed Method -- 15.3.1 Overview -- 15.3.2 Network Architecture 15.3.3 Data Transmission |
| ctrlnum | (ZDB-30-PQE)EBC6417030 (ZDB-30-PAD)EBC6417030 (ZDB-89-EBL)EBL6417030 (OCoLC)1225546805 (DE-599)BVBBV047442439 |
| discipline | Informatik |
| format | Electronic eBook |
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Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgement -- About the Editors -- Contributors -- Chapter 1 An Overview of the Artificial Intelligence Evolution and Its Fundamental Concepts, and Their Relationship with IoT Security -- 1.1 Introduction -- 1.2 Artificial Intelligence Fundamental Concepts -- 1.3 AI Technologies and Evolution -- 1.4 AI Technologies and IoT -- 1.5 Discussion -- 1.6 Future Trends -- 1.7 Conclusions -- References -- Chapter 2 Smart City: Evolution and Fundamental Concepts -- 2.1 Smart City -- 2.2 Characteristics of a Smart City -- 2.2.1 Smart Energy -- 2.2.2 Smart Data -- 2.2.3 Smart Transport -- 2.2.4 Smart Infrastructure -- 2.2.5 Connected Devices -- 2.2.6 Connected Mobility -- 2.3 Components of Smart City -- 2.3.1 Economy -- 2.3.2 Governance -- 2.3.3 Environment -- 2.3.4 Living -- 2.3.5 People -- 2.3.6 Mobility -- 2.4 Roadmap -- 2.5 Application of Smart Cities -- 2.5.1 Health Management -- 2.5.2 Smart Transportation -- 2.5.3 Waste Management -- 2.5.4 Surveillance -- 2.5.5 Water Management -- 2.5.6 Smart Parking -- 2.5.7 Data Monitoring -- 2.5.7.1 Three Layers of Data -- 2.5.7.2 Issues for the City Management -- 2.5.7.3 Data Challenges -- 2.5.8 Self-Driving Cars -- 2.5.9 Smart Street Lightning -- 2.5.9.1 Key Takeaways for Considering Smart Lighting -- 2.5.10 Emergency Services -- 2.5.11 Smart Energy Management -- 2.5.12 Smart Agriculture -- 2.5.12.1 IoT Applications for Smart Farming -- 2.5.13 Wearable Devices -- 2.5.14 Smart Education -- 2.5.15 Underground Tunnelling -- 2.5.15.1 Tunnelling Renaissance -- 2.6 Future of Smart Cities -- 2.6.1 Innovative Technologies for Smart City -- 2.6.2 Better Quality of Life -- 2.7 Technologies Evolving Smart Cities -- 2.7.1 Smart Cities 1.0: Surveillance, Digital and Eco-Friendly Cities</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2.7.2 Smart Cities 2.0: Sustainable, and Resilient Cities -- 2.7.3 Smart Cities 3.0: Green, Rightful Cities -- References -- Chapter 3 Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment -- 3.1 Introduction -- 3.2 IoT Data Characteristics -- 3.3 Different types of security attacks in the IoT network -- 3.4 Smart Home Security Threats -- 3.5 Different AI/ML models to Combat IoT security attacks -- 3.5.1 classification -- 3.5.1.1 KNN (K-nearestneighbors) -- 3.5.1.2 Classification based on naïve Bayes -- 3.5.1.3 Support Vector Machine (SVM) -- 3.6 Summary -- References -- Chapter 4 A Conceptual Model for Optimal Resource Sharing of Networked Microgrids Focusing Uncertainty: Paving the Path to Eco-Friendly Smart Cities -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Conceptual System Model -- Algorithm 1-1: -- 4.4 Conclusion -- References -- Chapter 5 A Novel Framework for a Cyber Secure Smart City -- 5.1 Introduction -- 5.2 Cybersecurity in Smart City -- 5.3 Security in Governance, Social and Economic Perspective -- 5.3.1 Administration Factors -- 5.3.2 Need for Security Testing -- 5.3.3 Dangers to Basic Foundations -- 5.3.4 Smart Mobility Security and Protection Necessities -- 5.3.5 Vitality and Utility Improvement -- 5.3.6 Social and Monetary Components -- 5.3.7 Challenges in Smart City Communication -- 5.3.8 Singular Privacy -- 5.4 Privacy Protection in Smart Cities -- 5.4.1 Privacy Models -- 5.5 Cyber Threats and Countermeasures in Smart Cities -- 5.6 A Novel Framework for Cyber Secure Smart City -- 5.7 Conclusion -- References -- Chapter 6 Contemplating Security Challenges and Threats for Smart Cities -- 6.1 Introduction -- 6.2 Privacy AND Security Concerns In Smart City -- 6.2.1 Why Is Privacy a Concern in Smart City? -- 6.2.2 Consequences of Privacy Concerns -- 6.2.2.1 Bluetooth Technology</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">6.2.2.2 Health Sector -- 6.2.2.3 Big Data Analytics -- 6.2.2.4 Cloud System -- 6.2.2.5 Internet of Things -- 6.2.2.6 Smart Card -- 6.2.2.7 Smart Tourism -- 6.2.2.8 Drones -- 6.2.2.9 Mobile Applications -- 6.2.2.10 E-Govennance -- 6.2.2.11 Online Social Networks -- 6.2.2.12 Biometrics -- 6.2.3 Concept and Cardinals of Smart City in the World -- 6.2.4 Why Is Security a Concern in Smart City? -- 6.2.5 Security Threats and Challenges [55] -- 6.2.6 Cybersecurity Challenges in Smart Cities [54] -- 6.2.7 Countermeasures and Probable Strategy for Security Concerns [57] -- 6.2.8 Countermeasures for Privacy Concerns -- 6.2.8.1 Sensing as a Service Model -- 6.2.8.2 5D Model for Privacy -- 6.2.8.3 User Awareness -- 6.2.8.4 Privacy Protection in RFID -- 6.2.8.5 Data Aggregation -- 6.2.8.6 Stakeholder Model -- 6.2.8.7 2 × 2 Framework -- 6.2.8.8 Mobile Cloud Framework -- 6.2.8.9 Changing Pseudonyms in Intelligent Transport System -- 6.2.8.10 Homomorphic Encryption -- 6.2.8.11 Three-Layer Model -- 6.2.8.12 Linear Algebra -- 6.2.8.13 Continuous Streaming Data -- 6.2.8.14 Protection of DBMS from Insider Attacks -- 6.2.8.15 Anonymization of Transaction Data -- 6.2.8.16 D-Mash Model -- 6.2.8.17 Lattice Based Secure Cryptosystem -- 6.2.8.18 Taxonomy Diagram -- 6.3 Tabular representations -- 6.4 Open Issues -- 6.5 Conclusions and Recommendations -- References -- Chapter 7 Self-Monitoring Obfuscated IoT Network -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Proposed Method -- 7.3.1 The Inter-Module Steganography Protocol -- 7.3.1.1 Control Signals Embedding Technique -- 7.3.2 Behaviour Learning -- 7.4 Results and Analysis -- 7.5 Conclusion -- References -- Chapter 8 Introduction to Side Channel Attacks and Investigation of Power Analysis and Fault Injection Attack Techniques -- 8.1 Introduction -- 8.1.1 Brief History of Side ChannelAttacks</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">8.2 State of the Art in Hardware Security -- 8.2.1 Meltdown Attack -- 8.2.2 Spectre Attack -- 8.2.3 Acoustic Cryptanalysis -- 8.2.4 Page Cache Attack -- 8.3 Side Channel Attack Model -- 8.3.1 Classification of side channel attacks -- 8.3.1.2 Invasive vs Non-invasive: -- 8.4 Power Analysis Techniques -- 8.4.1 Simple Power Analysis and Differential Power Analysis -- 8.4.2 Differential Power Analysis -- 8.4.3 Correlation Power Analysis -- 8.4.3.1 Steps to Perform CPA Attack -- 8.4.4 Mutual Information Analysis -- 8.4.5 Horizontal and Vertical Power Attack -- 8.4.6 Combined Implementation Attack -- 8.4.6.1 Basic Principle of Combining Active and Passive Attacks -- 8.5 Non-Invasive Active Attacks -- 8.5.1 Fault Injection Attacks -- 8.5.2 Effects of Fault Injection Attacks -- 8.5.3 Effect of Fault Injection Propagation -- 8.6 Fault Injection Attacks -- 8.6.1 Power Tampering/Voltage Glitching -- 8.7 Hands-On-Experiments: Fault Injection Attacks -- 8.7.1 Objectives -- 8.7.2 Method -- 8.7.3 Leaning Outcome -- 8.8 Exercises -- 8.8.1 Short Answers Type Questions -- References -- Chapter 9 Collaborative Digital Forensic Investigations Model for Law Enforcement -- 9.1 Introduction -- 9.2 Literature Review -- 9.2.1 Definitions of Digital Forensics -- 9.2.2 Digital Forensics for Law Enforcement -- 9.2.3 The Evolution of Existing Digital Forensic Investigation (DFI) Models -- 9.2.4 ISO Standards -- 9.3 Towards a new Collaborative DFI Model -- 9.3.1 Why ROP Needs a New Model -- 9.3.2 Phases within the CDFIR Model -- 9.3.3 Readiness -- 9.3.4 Initialization -- 9.3.5 Acquisition -- 9.3.6 Investigation -- 9.3.7 Rules and Responsibilities RACI Matrix -- 9.3.8 Facilitating Collaboration -- 9.4 Conclusion and Recommendations -- Acknowledgements -- References -- Chapter 10 Understanding Security Requirements and Challenges in the Industrial Internet of Things: A Review</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">10.1 Introduction -- 10.2 Privacy in IoT -- 10.2.1 Existing Solution and Discussion -- 10.3 Lightweight Cryptographic Framework for IoT -- 10.3.1 Existing Solution and Discussion -- 10.4 Conclusion -- References -- Chapter 11 5G Security and the Internet of Things -- 11.1 Introduction -- 11.2 Security Risks -- 11.3 Securing 5G -- 11.4 Future of 5G -- 11.5 Conclusion -- References -- Chapter 12 The Problem of Deepfake Videos and How to Counteract Them in Smart Cities -- 12.1 Introduction -- 12.2 How Deepfakes are Made -- 12.3 The motivation to create Deepfakes -- 12.4 The security concerns around Deepfakes -- 12.5 How Organisations are Counteracting the Use of Deep Fake Technology -- 12.6 Deepfakes and the Law -- 12.7 The Future of Deepfakes -- 12.8 Conclusion -- References -- Bibliography -- Chapter 13 The Rise of Ransomware Aided by Vulnerable IoT Devices -- 13.1 Introduction -- 13.2 Attack Vectors -- 13.2.1 Email attachments and links -- 13.2.2 Online advertisements -- 13.2.3 Downloads -- 13.2.4 Water Hole Attacks -- 13.2.5 Exploit Kits -- 13.2.6 Botnets -- 13.3 Evolution of Ransomware -- 13.3.1 1989 -- 13.3.2 2005 -- 13.3.3 2006 -- 13.3.4 2007 -- 13.3.5 2012 -- 13.3.6 2013 -- 13.3.7 2014 -- 13.3.8 2015 -- 13.3.9 2016 -- 13.3.10 2017 -- 13.3.11 2018 -- 13.4 How to secure against Ransomware -- 13.5 Future of Ransomware -- 13.6 Conclusion -- References -- Chapter 14 Security Issues in Self-Driving Cars within Smart Cities -- 14.1 Introduction -- 14.2 Risks Associated with Connected and Autonomous Vehicles -- 14.3 Future Developments -- 14.4 Conclusion -- References -- Chapter 15 Trust-Aware Crowd Associated Network-Based Approach for Optimal Waste Management in Smart Cities -- 15.1 Introduction -- 15.2 Related Work and Problem Definitions -- 15.2.1 Crowd Associated Network -- 15.3 Proposed Method -- 15.3.1 Overview -- 15.3.2 Network Architecture</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">15.3.3 Data Transmission</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Curran, Kevin</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)139709215</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" 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| id | DE-604.BV047442439 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:01:24Z |
| indexdate | 2025-06-10T14:01:10Z |
| institution | BVB |
| isbn | 9781000293173 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032844591 |
| oclc_num | 1225546805 |
| open_access_boolean | |
| owner | DE-29 |
| owner_facet | DE-29 |
| physical | 1 Online-Ressource (295 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE UER_Einzelkauf |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Taylor & Francis Group |
| record_format | marc |
| spelling | Ghafoor, Kayhan Zrar Verfasser aut Security and Organization Within IoT and Smart Cities Milton Taylor & Francis Group 2020 ©2021 1 Online-Ressource (295 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgement -- About the Editors -- Contributors -- Chapter 1 An Overview of the Artificial Intelligence Evolution and Its Fundamental Concepts, and Their Relationship with IoT Security -- 1.1 Introduction -- 1.2 Artificial Intelligence Fundamental Concepts -- 1.3 AI Technologies and Evolution -- 1.4 AI Technologies and IoT -- 1.5 Discussion -- 1.6 Future Trends -- 1.7 Conclusions -- References -- Chapter 2 Smart City: Evolution and Fundamental Concepts -- 2.1 Smart City -- 2.2 Characteristics of a Smart City -- 2.2.1 Smart Energy -- 2.2.2 Smart Data -- 2.2.3 Smart Transport -- 2.2.4 Smart Infrastructure -- 2.2.5 Connected Devices -- 2.2.6 Connected Mobility -- 2.3 Components of Smart City -- 2.3.1 Economy -- 2.3.2 Governance -- 2.3.3 Environment -- 2.3.4 Living -- 2.3.5 People -- 2.3.6 Mobility -- 2.4 Roadmap -- 2.5 Application of Smart Cities -- 2.5.1 Health Management -- 2.5.2 Smart Transportation -- 2.5.3 Waste Management -- 2.5.4 Surveillance -- 2.5.5 Water Management -- 2.5.6 Smart Parking -- 2.5.7 Data Monitoring -- 2.5.7.1 Three Layers of Data -- 2.5.7.2 Issues for the City Management -- 2.5.7.3 Data Challenges -- 2.5.8 Self-Driving Cars -- 2.5.9 Smart Street Lightning -- 2.5.9.1 Key Takeaways for Considering Smart Lighting -- 2.5.10 Emergency Services -- 2.5.11 Smart Energy Management -- 2.5.12 Smart Agriculture -- 2.5.12.1 IoT Applications for Smart Farming -- 2.5.13 Wearable Devices -- 2.5.14 Smart Education -- 2.5.15 Underground Tunnelling -- 2.5.15.1 Tunnelling Renaissance -- 2.6 Future of Smart Cities -- 2.6.1 Innovative Technologies for Smart City -- 2.6.2 Better Quality of Life -- 2.7 Technologies Evolving Smart Cities -- 2.7.1 Smart Cities 1.0: Surveillance, Digital and Eco-Friendly Cities 2.7.2 Smart Cities 2.0: Sustainable, and Resilient Cities -- 2.7.3 Smart Cities 3.0: Green, Rightful Cities -- References -- Chapter 3 Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment -- 3.1 Introduction -- 3.2 IoT Data Characteristics -- 3.3 Different types of security attacks in the IoT network -- 3.4 Smart Home Security Threats -- 3.5 Different AI/ML models to Combat IoT security attacks -- 3.5.1 classification -- 3.5.1.1 KNN (K-nearestneighbors) -- 3.5.1.2 Classification based on naïve Bayes -- 3.5.1.3 Support Vector Machine (SVM) -- 3.6 Summary -- References -- Chapter 4 A Conceptual Model for Optimal Resource Sharing of Networked Microgrids Focusing Uncertainty: Paving the Path to Eco-Friendly Smart Cities -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Conceptual System Model -- Algorithm 1-1: -- 4.4 Conclusion -- References -- Chapter 5 A Novel Framework for a Cyber Secure Smart City -- 5.1 Introduction -- 5.2 Cybersecurity in Smart City -- 5.3 Security in Governance, Social and Economic Perspective -- 5.3.1 Administration Factors -- 5.3.2 Need for Security Testing -- 5.3.3 Dangers to Basic Foundations -- 5.3.4 Smart Mobility Security and Protection Necessities -- 5.3.5 Vitality and Utility Improvement -- 5.3.6 Social and Monetary Components -- 5.3.7 Challenges in Smart City Communication -- 5.3.8 Singular Privacy -- 5.4 Privacy Protection in Smart Cities -- 5.4.1 Privacy Models -- 5.5 Cyber Threats and Countermeasures in Smart Cities -- 5.6 A Novel Framework for Cyber Secure Smart City -- 5.7 Conclusion -- References -- Chapter 6 Contemplating Security Challenges and Threats for Smart Cities -- 6.1 Introduction -- 6.2 Privacy AND Security Concerns In Smart City -- 6.2.1 Why Is Privacy a Concern in Smart City? -- 6.2.2 Consequences of Privacy Concerns -- 6.2.2.1 Bluetooth Technology 6.2.2.2 Health Sector -- 6.2.2.3 Big Data Analytics -- 6.2.2.4 Cloud System -- 6.2.2.5 Internet of Things -- 6.2.2.6 Smart Card -- 6.2.2.7 Smart Tourism -- 6.2.2.8 Drones -- 6.2.2.9 Mobile Applications -- 6.2.2.10 E-Govennance -- 6.2.2.11 Online Social Networks -- 6.2.2.12 Biometrics -- 6.2.3 Concept and Cardinals of Smart City in the World -- 6.2.4 Why Is Security a Concern in Smart City? -- 6.2.5 Security Threats and Challenges [55] -- 6.2.6 Cybersecurity Challenges in Smart Cities [54] -- 6.2.7 Countermeasures and Probable Strategy for Security Concerns [57] -- 6.2.8 Countermeasures for Privacy Concerns -- 6.2.8.1 Sensing as a Service Model -- 6.2.8.2 5D Model for Privacy -- 6.2.8.3 User Awareness -- 6.2.8.4 Privacy Protection in RFID -- 6.2.8.5 Data Aggregation -- 6.2.8.6 Stakeholder Model -- 6.2.8.7 2 × 2 Framework -- 6.2.8.8 Mobile Cloud Framework -- 6.2.8.9 Changing Pseudonyms in Intelligent Transport System -- 6.2.8.10 Homomorphic Encryption -- 6.2.8.11 Three-Layer Model -- 6.2.8.12 Linear Algebra -- 6.2.8.13 Continuous Streaming Data -- 6.2.8.14 Protection of DBMS from Insider Attacks -- 6.2.8.15 Anonymization of Transaction Data -- 6.2.8.16 D-Mash Model -- 6.2.8.17 Lattice Based Secure Cryptosystem -- 6.2.8.18 Taxonomy Diagram -- 6.3 Tabular representations -- 6.4 Open Issues -- 6.5 Conclusions and Recommendations -- References -- Chapter 7 Self-Monitoring Obfuscated IoT Network -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Proposed Method -- 7.3.1 The Inter-Module Steganography Protocol -- 7.3.1.1 Control Signals Embedding Technique -- 7.3.2 Behaviour Learning -- 7.4 Results and Analysis -- 7.5 Conclusion -- References -- Chapter 8 Introduction to Side Channel Attacks and Investigation of Power Analysis and Fault Injection Attack Techniques -- 8.1 Introduction -- 8.1.1 Brief History of Side ChannelAttacks 8.2 State of the Art in Hardware Security -- 8.2.1 Meltdown Attack -- 8.2.2 Spectre Attack -- 8.2.3 Acoustic Cryptanalysis -- 8.2.4 Page Cache Attack -- 8.3 Side Channel Attack Model -- 8.3.1 Classification of side channel attacks -- 8.3.1.2 Invasive vs Non-invasive: -- 8.4 Power Analysis Techniques -- 8.4.1 Simple Power Analysis and Differential Power Analysis -- 8.4.2 Differential Power Analysis -- 8.4.3 Correlation Power Analysis -- 8.4.3.1 Steps to Perform CPA Attack -- 8.4.4 Mutual Information Analysis -- 8.4.5 Horizontal and Vertical Power Attack -- 8.4.6 Combined Implementation Attack -- 8.4.6.1 Basic Principle of Combining Active and Passive Attacks -- 8.5 Non-Invasive Active Attacks -- 8.5.1 Fault Injection Attacks -- 8.5.2 Effects of Fault Injection Attacks -- 8.5.3 Effect of Fault Injection Propagation -- 8.6 Fault Injection Attacks -- 8.6.1 Power Tampering/Voltage Glitching -- 8.7 Hands-On-Experiments: Fault Injection Attacks -- 8.7.1 Objectives -- 8.7.2 Method -- 8.7.3 Leaning Outcome -- 8.8 Exercises -- 8.8.1 Short Answers Type Questions -- References -- Chapter 9 Collaborative Digital Forensic Investigations Model for Law Enforcement -- 9.1 Introduction -- 9.2 Literature Review -- 9.2.1 Definitions of Digital Forensics -- 9.2.2 Digital Forensics for Law Enforcement -- 9.2.3 The Evolution of Existing Digital Forensic Investigation (DFI) Models -- 9.2.4 ISO Standards -- 9.3 Towards a new Collaborative DFI Model -- 9.3.1 Why ROP Needs a New Model -- 9.3.2 Phases within the CDFIR Model -- 9.3.3 Readiness -- 9.3.4 Initialization -- 9.3.5 Acquisition -- 9.3.6 Investigation -- 9.3.7 Rules and Responsibilities RACI Matrix -- 9.3.8 Facilitating Collaboration -- 9.4 Conclusion and Recommendations -- Acknowledgements -- References -- Chapter 10 Understanding Security Requirements and Challenges in the Industrial Internet of Things: A Review 10.1 Introduction -- 10.2 Privacy in IoT -- 10.2.1 Existing Solution and Discussion -- 10.3 Lightweight Cryptographic Framework for IoT -- 10.3.1 Existing Solution and Discussion -- 10.4 Conclusion -- References -- Chapter 11 5G Security and the Internet of Things -- 11.1 Introduction -- 11.2 Security Risks -- 11.3 Securing 5G -- 11.4 Future of 5G -- 11.5 Conclusion -- References -- Chapter 12 The Problem of Deepfake Videos and How to Counteract Them in Smart Cities -- 12.1 Introduction -- 12.2 How Deepfakes are Made -- 12.3 The motivation to create Deepfakes -- 12.4 The security concerns around Deepfakes -- 12.5 How Organisations are Counteracting the Use of Deep Fake Technology -- 12.6 Deepfakes and the Law -- 12.7 The Future of Deepfakes -- 12.8 Conclusion -- References -- Bibliography -- Chapter 13 The Rise of Ransomware Aided by Vulnerable IoT Devices -- 13.1 Introduction -- 13.2 Attack Vectors -- 13.2.1 Email attachments and links -- 13.2.2 Online advertisements -- 13.2.3 Downloads -- 13.2.4 Water Hole Attacks -- 13.2.5 Exploit Kits -- 13.2.6 Botnets -- 13.3 Evolution of Ransomware -- 13.3.1 1989 -- 13.3.2 2005 -- 13.3.3 2006 -- 13.3.4 2007 -- 13.3.5 2012 -- 13.3.6 2013 -- 13.3.7 2014 -- 13.3.8 2015 -- 13.3.9 2016 -- 13.3.10 2017 -- 13.3.11 2018 -- 13.4 How to secure against Ransomware -- 13.5 Future of Ransomware -- 13.6 Conclusion -- References -- Chapter 14 Security Issues in Self-Driving Cars within Smart Cities -- 14.1 Introduction -- 14.2 Risks Associated with Connected and Autonomous Vehicles -- 14.3 Future Developments -- 14.4 Conclusion -- References -- Chapter 15 Trust-Aware Crowd Associated Network-Based Approach for Optimal Waste Management in Smart Cities -- 15.1 Introduction -- 15.2 Related Work and Problem Definitions -- 15.2.1 Crowd Associated Network -- 15.3 Proposed Method -- 15.3.1 Overview -- 15.3.2 Network Architecture 15.3.3 Data Transmission Curran, Kevin Sonstige (DE-588)139709215 oth Kong, Linghe Sonstige (DE-588)1196750645 oth Sadiq, Ali Safa Sonstige oth Erscheint auch als Druck-Ausgabe Ghafoor, Kayhan Zrar Security and Organization Within IoT and Smart Cities Milton : Taylor & Francis Group,c2020 9780367893330 |
| spellingShingle | Ghafoor, Kayhan Zrar Security and Organization Within IoT and Smart Cities Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgement -- About the Editors -- Contributors -- Chapter 1 An Overview of the Artificial Intelligence Evolution and Its Fundamental Concepts, and Their Relationship with IoT Security -- 1.1 Introduction -- 1.2 Artificial Intelligence Fundamental Concepts -- 1.3 AI Technologies and Evolution -- 1.4 AI Technologies and IoT -- 1.5 Discussion -- 1.6 Future Trends -- 1.7 Conclusions -- References -- Chapter 2 Smart City: Evolution and Fundamental Concepts -- 2.1 Smart City -- 2.2 Characteristics of a Smart City -- 2.2.1 Smart Energy -- 2.2.2 Smart Data -- 2.2.3 Smart Transport -- 2.2.4 Smart Infrastructure -- 2.2.5 Connected Devices -- 2.2.6 Connected Mobility -- 2.3 Components of Smart City -- 2.3.1 Economy -- 2.3.2 Governance -- 2.3.3 Environment -- 2.3.4 Living -- 2.3.5 People -- 2.3.6 Mobility -- 2.4 Roadmap -- 2.5 Application of Smart Cities -- 2.5.1 Health Management -- 2.5.2 Smart Transportation -- 2.5.3 Waste Management -- 2.5.4 Surveillance -- 2.5.5 Water Management -- 2.5.6 Smart Parking -- 2.5.7 Data Monitoring -- 2.5.7.1 Three Layers of Data -- 2.5.7.2 Issues for the City Management -- 2.5.7.3 Data Challenges -- 2.5.8 Self-Driving Cars -- 2.5.9 Smart Street Lightning -- 2.5.9.1 Key Takeaways for Considering Smart Lighting -- 2.5.10 Emergency Services -- 2.5.11 Smart Energy Management -- 2.5.12 Smart Agriculture -- 2.5.12.1 IoT Applications for Smart Farming -- 2.5.13 Wearable Devices -- 2.5.14 Smart Education -- 2.5.15 Underground Tunnelling -- 2.5.15.1 Tunnelling Renaissance -- 2.6 Future of Smart Cities -- 2.6.1 Innovative Technologies for Smart City -- 2.6.2 Better Quality of Life -- 2.7 Technologies Evolving Smart Cities -- 2.7.1 Smart Cities 1.0: Surveillance, Digital and Eco-Friendly Cities 2.7.2 Smart Cities 2.0: Sustainable, and Resilient Cities -- 2.7.3 Smart Cities 3.0: Green, Rightful Cities -- References -- Chapter 3 Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment -- 3.1 Introduction -- 3.2 IoT Data Characteristics -- 3.3 Different types of security attacks in the IoT network -- 3.4 Smart Home Security Threats -- 3.5 Different AI/ML models to Combat IoT security attacks -- 3.5.1 classification -- 3.5.1.1 KNN (K-nearestneighbors) -- 3.5.1.2 Classification based on naïve Bayes -- 3.5.1.3 Support Vector Machine (SVM) -- 3.6 Summary -- References -- Chapter 4 A Conceptual Model for Optimal Resource Sharing of Networked Microgrids Focusing Uncertainty: Paving the Path to Eco-Friendly Smart Cities -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Conceptual System Model -- Algorithm 1-1: -- 4.4 Conclusion -- References -- Chapter 5 A Novel Framework for a Cyber Secure Smart City -- 5.1 Introduction -- 5.2 Cybersecurity in Smart City -- 5.3 Security in Governance, Social and Economic Perspective -- 5.3.1 Administration Factors -- 5.3.2 Need for Security Testing -- 5.3.3 Dangers to Basic Foundations -- 5.3.4 Smart Mobility Security and Protection Necessities -- 5.3.5 Vitality and Utility Improvement -- 5.3.6 Social and Monetary Components -- 5.3.7 Challenges in Smart City Communication -- 5.3.8 Singular Privacy -- 5.4 Privacy Protection in Smart Cities -- 5.4.1 Privacy Models -- 5.5 Cyber Threats and Countermeasures in Smart Cities -- 5.6 A Novel Framework for Cyber Secure Smart City -- 5.7 Conclusion -- References -- Chapter 6 Contemplating Security Challenges and Threats for Smart Cities -- 6.1 Introduction -- 6.2 Privacy AND Security Concerns In Smart City -- 6.2.1 Why Is Privacy a Concern in Smart City? -- 6.2.2 Consequences of Privacy Concerns -- 6.2.2.1 Bluetooth Technology 6.2.2.2 Health Sector -- 6.2.2.3 Big Data Analytics -- 6.2.2.4 Cloud System -- 6.2.2.5 Internet of Things -- 6.2.2.6 Smart Card -- 6.2.2.7 Smart Tourism -- 6.2.2.8 Drones -- 6.2.2.9 Mobile Applications -- 6.2.2.10 E-Govennance -- 6.2.2.11 Online Social Networks -- 6.2.2.12 Biometrics -- 6.2.3 Concept and Cardinals of Smart City in the World -- 6.2.4 Why Is Security a Concern in Smart City? -- 6.2.5 Security Threats and Challenges [55] -- 6.2.6 Cybersecurity Challenges in Smart Cities [54] -- 6.2.7 Countermeasures and Probable Strategy for Security Concerns [57] -- 6.2.8 Countermeasures for Privacy Concerns -- 6.2.8.1 Sensing as a Service Model -- 6.2.8.2 5D Model for Privacy -- 6.2.8.3 User Awareness -- 6.2.8.4 Privacy Protection in RFID -- 6.2.8.5 Data Aggregation -- 6.2.8.6 Stakeholder Model -- 6.2.8.7 2 × 2 Framework -- 6.2.8.8 Mobile Cloud Framework -- 6.2.8.9 Changing Pseudonyms in Intelligent Transport System -- 6.2.8.10 Homomorphic Encryption -- 6.2.8.11 Three-Layer Model -- 6.2.8.12 Linear Algebra -- 6.2.8.13 Continuous Streaming Data -- 6.2.8.14 Protection of DBMS from Insider Attacks -- 6.2.8.15 Anonymization of Transaction Data -- 6.2.8.16 D-Mash Model -- 6.2.8.17 Lattice Based Secure Cryptosystem -- 6.2.8.18 Taxonomy Diagram -- 6.3 Tabular representations -- 6.4 Open Issues -- 6.5 Conclusions and Recommendations -- References -- Chapter 7 Self-Monitoring Obfuscated IoT Network -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Proposed Method -- 7.3.1 The Inter-Module Steganography Protocol -- 7.3.1.1 Control Signals Embedding Technique -- 7.3.2 Behaviour Learning -- 7.4 Results and Analysis -- 7.5 Conclusion -- References -- Chapter 8 Introduction to Side Channel Attacks and Investigation of Power Analysis and Fault Injection Attack Techniques -- 8.1 Introduction -- 8.1.1 Brief History of Side ChannelAttacks 8.2 State of the Art in Hardware Security -- 8.2.1 Meltdown Attack -- 8.2.2 Spectre Attack -- 8.2.3 Acoustic Cryptanalysis -- 8.2.4 Page Cache Attack -- 8.3 Side Channel Attack Model -- 8.3.1 Classification of side channel attacks -- 8.3.1.2 Invasive vs Non-invasive: -- 8.4 Power Analysis Techniques -- 8.4.1 Simple Power Analysis and Differential Power Analysis -- 8.4.2 Differential Power Analysis -- 8.4.3 Correlation Power Analysis -- 8.4.3.1 Steps to Perform CPA Attack -- 8.4.4 Mutual Information Analysis -- 8.4.5 Horizontal and Vertical Power Attack -- 8.4.6 Combined Implementation Attack -- 8.4.6.1 Basic Principle of Combining Active and Passive Attacks -- 8.5 Non-Invasive Active Attacks -- 8.5.1 Fault Injection Attacks -- 8.5.2 Effects of Fault Injection Attacks -- 8.5.3 Effect of Fault Injection Propagation -- 8.6 Fault Injection Attacks -- 8.6.1 Power Tampering/Voltage Glitching -- 8.7 Hands-On-Experiments: Fault Injection Attacks -- 8.7.1 Objectives -- 8.7.2 Method -- 8.7.3 Leaning Outcome -- 8.8 Exercises -- 8.8.1 Short Answers Type Questions -- References -- Chapter 9 Collaborative Digital Forensic Investigations Model for Law Enforcement -- 9.1 Introduction -- 9.2 Literature Review -- 9.2.1 Definitions of Digital Forensics -- 9.2.2 Digital Forensics for Law Enforcement -- 9.2.3 The Evolution of Existing Digital Forensic Investigation (DFI) Models -- 9.2.4 ISO Standards -- 9.3 Towards a new Collaborative DFI Model -- 9.3.1 Why ROP Needs a New Model -- 9.3.2 Phases within the CDFIR Model -- 9.3.3 Readiness -- 9.3.4 Initialization -- 9.3.5 Acquisition -- 9.3.6 Investigation -- 9.3.7 Rules and Responsibilities RACI Matrix -- 9.3.8 Facilitating Collaboration -- 9.4 Conclusion and Recommendations -- Acknowledgements -- References -- Chapter 10 Understanding Security Requirements and Challenges in the Industrial Internet of Things: A Review 10.1 Introduction -- 10.2 Privacy in IoT -- 10.2.1 Existing Solution and Discussion -- 10.3 Lightweight Cryptographic Framework for IoT -- 10.3.1 Existing Solution and Discussion -- 10.4 Conclusion -- References -- Chapter 11 5G Security and the Internet of Things -- 11.1 Introduction -- 11.2 Security Risks -- 11.3 Securing 5G -- 11.4 Future of 5G -- 11.5 Conclusion -- References -- Chapter 12 The Problem of Deepfake Videos and How to Counteract Them in Smart Cities -- 12.1 Introduction -- 12.2 How Deepfakes are Made -- 12.3 The motivation to create Deepfakes -- 12.4 The security concerns around Deepfakes -- 12.5 How Organisations are Counteracting the Use of Deep Fake Technology -- 12.6 Deepfakes and the Law -- 12.7 The Future of Deepfakes -- 12.8 Conclusion -- References -- Bibliography -- Chapter 13 The Rise of Ransomware Aided by Vulnerable IoT Devices -- 13.1 Introduction -- 13.2 Attack Vectors -- 13.2.1 Email attachments and links -- 13.2.2 Online advertisements -- 13.2.3 Downloads -- 13.2.4 Water Hole Attacks -- 13.2.5 Exploit Kits -- 13.2.6 Botnets -- 13.3 Evolution of Ransomware -- 13.3.1 1989 -- 13.3.2 2005 -- 13.3.3 2006 -- 13.3.4 2007 -- 13.3.5 2012 -- 13.3.6 2013 -- 13.3.7 2014 -- 13.3.8 2015 -- 13.3.9 2016 -- 13.3.10 2017 -- 13.3.11 2018 -- 13.4 How to secure against Ransomware -- 13.5 Future of Ransomware -- 13.6 Conclusion -- References -- Chapter 14 Security Issues in Self-Driving Cars within Smart Cities -- 14.1 Introduction -- 14.2 Risks Associated with Connected and Autonomous Vehicles -- 14.3 Future Developments -- 14.4 Conclusion -- References -- Chapter 15 Trust-Aware Crowd Associated Network-Based Approach for Optimal Waste Management in Smart Cities -- 15.1 Introduction -- 15.2 Related Work and Problem Definitions -- 15.2.1 Crowd Associated Network -- 15.3 Proposed Method -- 15.3.1 Overview -- 15.3.2 Network Architecture 15.3.3 Data Transmission |
| title | Security and Organization Within IoT and Smart Cities |
| title_auth | Security and Organization Within IoT and Smart Cities |
| title_exact_search | Security and Organization Within IoT and Smart Cities |
| title_exact_search_txtP | Security and Organization Within IoT and Smart Cities |
| title_full | Security and Organization Within IoT and Smart Cities |
| title_fullStr | Security and Organization Within IoT and Smart Cities |
| title_full_unstemmed | Security and Organization Within IoT and Smart Cities |
| title_short | Security and Organization Within IoT and Smart Cities |
| title_sort | security and organization within iot and smart cities |
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