Blockchain Applications for Secure IoT Frameworks:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Sharjah :
Bentham Science Publishers,
2021.
|
| Schriftenreihe: | Advances in Computing Communications and Informatics Ser.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Description based upon print version of record. 4.2. IoT Reference Architecture. |
| Beschreibung: | 1 online resource (296 p.). |
| ISBN: | 1681088622 9781681088624 |
Internformat
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| 245 | 1 | 0 | |a Blockchain Applications for Secure IoT Frameworks |h [electronic resource]. |
| 260 | |a Sharjah : |b Bentham Science Publishers, |c 2021. | ||
| 300 | |a 1 online resource (296 p.). | ||
| 490 | 1 | |a Advances in Computing Communications and Informatics Ser. | |
| 500 | |a Description based upon print version of record. | ||
| 505 | 0 | |a Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Preface -- List of Contributors -- An Overview of Smart Grid in the Current Age -- Reinaldo Padilha França1,*, Ana Carolina Borges Monteiro1,*, Rangel Arthur2 and Yuzo Iano1 -- 1. INTRODUCTION -- 2. SMART CITIES CONCEPTS -- 3. SMART GRID CONCEPTS -- 3.1. Smart Grid and IoT -- 3.2. Smart Grid Applications -- 3.3. Smart Grid Advantages -- 4. SMART GRID INFRASTRUCTURE -- 5. DISCUSSION -- 5.1. Infrastructure generated by Smart Grid -- 5.2. Smart Grid as an Instrument of Innovation -- 5.3. Smart Grid Benefits | |
| 505 | 8 | |a 5.4. Blockchain for Smart Grids -- CONCLUSION -- TRENDS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Dynamic Strategies of Machine Learning for Extenuation of Security Breaches in Wireless Sensor Networks -- Shweta Paliwal1,* -- 1. INTRODUCTION -- 2. SECURITY CONCERNS IN WIRELESS SENSOR NETWORKS -- 2.1. Eavesdropping Attack -- 2.2. Jamming Attack -- 2.3. Tampering -- 2.4. Exhaustion and Collision Attack -- 2.5. Sybil Attack -- 2.6. Blackhole Attack -- 2.7. Wormhole Attack -- 2.8. Grayhole Attack -- 2.9. Sinkhole Attack -- 2.10. Hello Flood Attack | |
| 505 | 8 | |a 3. MACHINE LEARNING EMERGING AS A SAFEGUARD TO WSNS -- 4. SUPERVISED LEARNING -- 4.1. Linear Regression and Logistic Regression -- 4.2. Artificial Neural Networks (ANN) -- 4.3. Decision Tree -- 4.4. Random Forest -- 4.5. Bayesian Learning -- 4.6. Support Vector Machine (SVM) -- 4.7. K- Nearest Neighbor (K-NN) -- 5. UNSUPERVISED LEARNING -- 5.1. K- Means Clustering -- 5.2. Fuzzy C- Means Clustering -- 6. SEMI-SUPERVISED LEARNING -- 7. REINFORCEMENT LEARNING -- 8. MACHINE LEARNING ADDRESSING ISSUES IN WSNS -- 8.1. Machine Learning Addressing Issue of Security | |
| 505 | 8 | |a 8.2. Machine Learning Addressing Issue of Routing in Wireless Sensor Network -- 8.3. Data Aggregation in WSNs with Machine Learning -- 9. PROPOSED FEATURE SELECTION METHOD AND COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS -- 9.1. Dataset Gathering -- 9.2. Feature Selection Methodology -- 9.2.1. Correlation-based Feature -- 9.2.2. Info Gain Method -- 9.2.3. CFS Subset Evaluation -- 10. EXPERIMENTAL RESULTS AND ANALYSIS -- CONCLUSION AND FUTURE WORK -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- IoT- Fundamentals and Challenges | |
| 505 | 8 | |a Mohammad Maksuf Ul Haque1, Shazmeen Shamsi1, Khwaja M. Rafi2 and Mohammad Sufian Badar3,4,* -- 1. INTRODUCTION -- 2. HISTORY OF IOT -- 2.1. Realizing the Concept -- 3. INTERNET OF THINGS -- 3.1. Meaning of IoT -- 3.2. Importance of IoT -- 3.2.1. Things that Collect and Send Information -- 3.2.2. Things that Receive Information and then Act on it -- 3.2.3. Things that Can Do Both -- 3.3. Scope of IoT: Applications and Examples -- 3.3.1. Increasing Efficiency -- 3.3.2. Improved Health and Safety -- 3.3.3. Enhancing Experience -- 4. FUNDAMENTALS OF IOT -- 4.1. IoT Device Architecture | |
| 500 | |a 4.2. IoT Reference Architecture. | ||
| 650 | 0 | |a Internet of things. |0 http://id.loc.gov/authorities/subjects/sh2013000266 | |
| 650 | 0 | |a Blockchains (Databases) |0 http://id.loc.gov/authorities/subjects/sh2016002790 | |
| 650 | 6 | |a Internet des objets. | |
| 650 | 6 | |a Chaînes de blocs. | |
| 650 | 7 | |a Blockchains (Databases) |2 fast | |
| 650 | 7 | |a Internet of things |2 fast | |
| 700 | 1 | |a Bhushan, Bharat. | |
| 700 | 1 | |a Astya, Parma N. | |
| 758 | |i has work: |a Blockchain Applications for Secure IoT Frameworks (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3QtdBGVGwhRWwMJwJ8hBP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Sharma, Sudhir K. |t Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future |d Sharjah : Bentham Science Publishers,c2021 |z 9781681088631 |
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| contents | Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Preface -- List of Contributors -- An Overview of Smart Grid in the Current Age -- Reinaldo Padilha França1,*, Ana Carolina Borges Monteiro1,*, Rangel Arthur2 and Yuzo Iano1 -- 1. INTRODUCTION -- 2. SMART CITIES CONCEPTS -- 3. SMART GRID CONCEPTS -- 3.1. Smart Grid and IoT -- 3.2. Smart Grid Applications -- 3.3. Smart Grid Advantages -- 4. SMART GRID INFRASTRUCTURE -- 5. DISCUSSION -- 5.1. Infrastructure generated by Smart Grid -- 5.2. Smart Grid as an Instrument of Innovation -- 5.3. Smart Grid Benefits 5.4. Blockchain for Smart Grids -- CONCLUSION -- TRENDS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Dynamic Strategies of Machine Learning for Extenuation of Security Breaches in Wireless Sensor Networks -- Shweta Paliwal1,* -- 1. INTRODUCTION -- 2. SECURITY CONCERNS IN WIRELESS SENSOR NETWORKS -- 2.1. Eavesdropping Attack -- 2.2. Jamming Attack -- 2.3. Tampering -- 2.4. Exhaustion and Collision Attack -- 2.5. Sybil Attack -- 2.6. Blackhole Attack -- 2.7. Wormhole Attack -- 2.8. Grayhole Attack -- 2.9. Sinkhole Attack -- 2.10. Hello Flood Attack 3. MACHINE LEARNING EMERGING AS A SAFEGUARD TO WSNS -- 4. SUPERVISED LEARNING -- 4.1. Linear Regression and Logistic Regression -- 4.2. Artificial Neural Networks (ANN) -- 4.3. Decision Tree -- 4.4. Random Forest -- 4.5. Bayesian Learning -- 4.6. Support Vector Machine (SVM) -- 4.7. K- Nearest Neighbor (K-NN) -- 5. UNSUPERVISED LEARNING -- 5.1. K- Means Clustering -- 5.2. Fuzzy C- Means Clustering -- 6. SEMI-SUPERVISED LEARNING -- 7. REINFORCEMENT LEARNING -- 8. MACHINE LEARNING ADDRESSING ISSUES IN WSNS -- 8.1. Machine Learning Addressing Issue of Security 8.2. Machine Learning Addressing Issue of Routing in Wireless Sensor Network -- 8.3. Data Aggregation in WSNs with Machine Learning -- 9. PROPOSED FEATURE SELECTION METHOD AND COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS -- 9.1. Dataset Gathering -- 9.2. Feature Selection Methodology -- 9.2.1. Correlation-based Feature -- 9.2.2. Info Gain Method -- 9.2.3. CFS Subset Evaluation -- 10. EXPERIMENTAL RESULTS AND ANALYSIS -- CONCLUSION AND FUTURE WORK -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- IoT- Fundamentals and Challenges Mohammad Maksuf Ul Haque1, Shazmeen Shamsi1, Khwaja M. Rafi2 and Mohammad Sufian Badar3,4,* -- 1. INTRODUCTION -- 2. HISTORY OF IOT -- 2.1. Realizing the Concept -- 3. INTERNET OF THINGS -- 3.1. Meaning of IoT -- 3.2. Importance of IoT -- 3.2.1. Things that Collect and Send Information -- 3.2.2. Things that Receive Information and then Act on it -- 3.2.3. Things that Can Do Both -- 3.3. Scope of IoT: Applications and Examples -- 3.3.1. Increasing Efficiency -- 3.3.2. Improved Health and Safety -- 3.3.3. Enhancing Experience -- 4. FUNDAMENTALS OF IOT -- 4.1. IoT Device Architecture |
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| illustrated | Not Illustrated |
| indexdate | 2024-10-25T15:51:08Z |
| institution | BVB |
| isbn | 1681088622 9781681088624 |
| language | English |
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| series2 | Advances in Computing Communications and Informatics Ser. |
| spelling | Sharma, Sudhir K. Blockchain Applications for Secure IoT Frameworks [electronic resource]. Sharjah : Bentham Science Publishers, 2021. 1 online resource (296 p.). Advances in Computing Communications and Informatics Ser. Description based upon print version of record. Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Preface -- List of Contributors -- An Overview of Smart Grid in the Current Age -- Reinaldo Padilha França1,*, Ana Carolina Borges Monteiro1,*, Rangel Arthur2 and Yuzo Iano1 -- 1. INTRODUCTION -- 2. SMART CITIES CONCEPTS -- 3. SMART GRID CONCEPTS -- 3.1. Smart Grid and IoT -- 3.2. Smart Grid Applications -- 3.3. Smart Grid Advantages -- 4. SMART GRID INFRASTRUCTURE -- 5. DISCUSSION -- 5.1. Infrastructure generated by Smart Grid -- 5.2. Smart Grid as an Instrument of Innovation -- 5.3. Smart Grid Benefits 5.4. Blockchain for Smart Grids -- CONCLUSION -- TRENDS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Dynamic Strategies of Machine Learning for Extenuation of Security Breaches in Wireless Sensor Networks -- Shweta Paliwal1,* -- 1. INTRODUCTION -- 2. SECURITY CONCERNS IN WIRELESS SENSOR NETWORKS -- 2.1. Eavesdropping Attack -- 2.2. Jamming Attack -- 2.3. Tampering -- 2.4. Exhaustion and Collision Attack -- 2.5. Sybil Attack -- 2.6. Blackhole Attack -- 2.7. Wormhole Attack -- 2.8. Grayhole Attack -- 2.9. Sinkhole Attack -- 2.10. Hello Flood Attack 3. MACHINE LEARNING EMERGING AS A SAFEGUARD TO WSNS -- 4. SUPERVISED LEARNING -- 4.1. Linear Regression and Logistic Regression -- 4.2. Artificial Neural Networks (ANN) -- 4.3. Decision Tree -- 4.4. Random Forest -- 4.5. Bayesian Learning -- 4.6. Support Vector Machine (SVM) -- 4.7. K- Nearest Neighbor (K-NN) -- 5. UNSUPERVISED LEARNING -- 5.1. K- Means Clustering -- 5.2. Fuzzy C- Means Clustering -- 6. SEMI-SUPERVISED LEARNING -- 7. REINFORCEMENT LEARNING -- 8. MACHINE LEARNING ADDRESSING ISSUES IN WSNS -- 8.1. Machine Learning Addressing Issue of Security 8.2. Machine Learning Addressing Issue of Routing in Wireless Sensor Network -- 8.3. Data Aggregation in WSNs with Machine Learning -- 9. PROPOSED FEATURE SELECTION METHOD AND COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS -- 9.1. Dataset Gathering -- 9.2. Feature Selection Methodology -- 9.2.1. Correlation-based Feature -- 9.2.2. Info Gain Method -- 9.2.3. CFS Subset Evaluation -- 10. EXPERIMENTAL RESULTS AND ANALYSIS -- CONCLUSION AND FUTURE WORK -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- IoT- Fundamentals and Challenges Mohammad Maksuf Ul Haque1, Shazmeen Shamsi1, Khwaja M. Rafi2 and Mohammad Sufian Badar3,4,* -- 1. INTRODUCTION -- 2. HISTORY OF IOT -- 2.1. Realizing the Concept -- 3. INTERNET OF THINGS -- 3.1. Meaning of IoT -- 3.2. Importance of IoT -- 3.2.1. Things that Collect and Send Information -- 3.2.2. Things that Receive Information and then Act on it -- 3.2.3. Things that Can Do Both -- 3.3. Scope of IoT: Applications and Examples -- 3.3.1. Increasing Efficiency -- 3.3.2. Improved Health and Safety -- 3.3.3. Enhancing Experience -- 4. FUNDAMENTALS OF IOT -- 4.1. IoT Device Architecture 4.2. IoT Reference Architecture. Internet of things. http://id.loc.gov/authorities/subjects/sh2013000266 Blockchains (Databases) http://id.loc.gov/authorities/subjects/sh2016002790 Internet des objets. Chaînes de blocs. Blockchains (Databases) fast Internet of things fast Bhushan, Bharat. Astya, Parma N. has work: Blockchain Applications for Secure IoT Frameworks (Text) https://id.oclc.org/worldcat/entity/E39PD3QtdBGVGwhRWwMJwJ8hBP https://id.oclc.org/worldcat/ontology/hasWork Print version: Sharma, Sudhir K. Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future Sharjah : Bentham Science Publishers,c2021 9781681088631 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2966423 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2966423 Volltext |
| spellingShingle | Sharma, Sudhir K. Blockchain Applications for Secure IoT Frameworks Advances in Computing Communications and Informatics Ser. Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Preface -- List of Contributors -- An Overview of Smart Grid in the Current Age -- Reinaldo Padilha França1,*, Ana Carolina Borges Monteiro1,*, Rangel Arthur2 and Yuzo Iano1 -- 1. INTRODUCTION -- 2. SMART CITIES CONCEPTS -- 3. SMART GRID CONCEPTS -- 3.1. Smart Grid and IoT -- 3.2. Smart Grid Applications -- 3.3. Smart Grid Advantages -- 4. SMART GRID INFRASTRUCTURE -- 5. DISCUSSION -- 5.1. Infrastructure generated by Smart Grid -- 5.2. Smart Grid as an Instrument of Innovation -- 5.3. Smart Grid Benefits 5.4. Blockchain for Smart Grids -- CONCLUSION -- TRENDS -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- Dynamic Strategies of Machine Learning for Extenuation of Security Breaches in Wireless Sensor Networks -- Shweta Paliwal1,* -- 1. INTRODUCTION -- 2. SECURITY CONCERNS IN WIRELESS SENSOR NETWORKS -- 2.1. Eavesdropping Attack -- 2.2. Jamming Attack -- 2.3. Tampering -- 2.4. Exhaustion and Collision Attack -- 2.5. Sybil Attack -- 2.6. Blackhole Attack -- 2.7. Wormhole Attack -- 2.8. Grayhole Attack -- 2.9. Sinkhole Attack -- 2.10. Hello Flood Attack 3. MACHINE LEARNING EMERGING AS A SAFEGUARD TO WSNS -- 4. SUPERVISED LEARNING -- 4.1. Linear Regression and Logistic Regression -- 4.2. Artificial Neural Networks (ANN) -- 4.3. Decision Tree -- 4.4. Random Forest -- 4.5. Bayesian Learning -- 4.6. Support Vector Machine (SVM) -- 4.7. K- Nearest Neighbor (K-NN) -- 5. UNSUPERVISED LEARNING -- 5.1. K- Means Clustering -- 5.2. Fuzzy C- Means Clustering -- 6. SEMI-SUPERVISED LEARNING -- 7. REINFORCEMENT LEARNING -- 8. MACHINE LEARNING ADDRESSING ISSUES IN WSNS -- 8.1. Machine Learning Addressing Issue of Security 8.2. Machine Learning Addressing Issue of Routing in Wireless Sensor Network -- 8.3. Data Aggregation in WSNs with Machine Learning -- 9. PROPOSED FEATURE SELECTION METHOD AND COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS -- 9.1. Dataset Gathering -- 9.2. Feature Selection Methodology -- 9.2.1. Correlation-based Feature -- 9.2.2. Info Gain Method -- 9.2.3. CFS Subset Evaluation -- 10. EXPERIMENTAL RESULTS AND ANALYSIS -- CONCLUSION AND FUTURE WORK -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- REFERENCES -- IoT- Fundamentals and Challenges Mohammad Maksuf Ul Haque1, Shazmeen Shamsi1, Khwaja M. Rafi2 and Mohammad Sufian Badar3,4,* -- 1. INTRODUCTION -- 2. HISTORY OF IOT -- 2.1. Realizing the Concept -- 3. INTERNET OF THINGS -- 3.1. Meaning of IoT -- 3.2. Importance of IoT -- 3.2.1. Things that Collect and Send Information -- 3.2.2. Things that Receive Information and then Act on it -- 3.2.3. Things that Can Do Both -- 3.3. Scope of IoT: Applications and Examples -- 3.3.1. Increasing Efficiency -- 3.3.2. Improved Health and Safety -- 3.3.3. Enhancing Experience -- 4. FUNDAMENTALS OF IOT -- 4.1. IoT Device Architecture Internet of things. http://id.loc.gov/authorities/subjects/sh2013000266 Blockchains (Databases) http://id.loc.gov/authorities/subjects/sh2016002790 Internet des objets. Chaînes de blocs. Blockchains (Databases) fast Internet of things fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2013000266 http://id.loc.gov/authorities/subjects/sh2016002790 |
| title | Blockchain Applications for Secure IoT Frameworks |
| title_auth | Blockchain Applications for Secure IoT Frameworks |
| title_exact_search | Blockchain Applications for Secure IoT Frameworks |
| title_full | Blockchain Applications for Secure IoT Frameworks [electronic resource]. |
| title_fullStr | Blockchain Applications for Secure IoT Frameworks [electronic resource]. |
| title_full_unstemmed | Blockchain Applications for Secure IoT Frameworks [electronic resource]. |
| title_short | Blockchain Applications for Secure IoT Frameworks |
| title_sort | blockchain applications for secure iot frameworks |
| topic | Internet of things. http://id.loc.gov/authorities/subjects/sh2013000266 Blockchains (Databases) http://id.loc.gov/authorities/subjects/sh2016002790 Internet des objets. Chaînes de blocs. Blockchains (Databases) fast Internet of things fast |
| topic_facet | Internet of things. Blockchains (Databases) Internet des objets. Chaînes de blocs. Internet of things |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2966423 |
| work_keys_str_mv | AT sharmasudhirk blockchainapplicationsforsecureiotframeworks AT bhushanbharat blockchainapplicationsforsecureiotframeworks AT astyaparman blockchainapplicationsforsecureiotframeworks |