Artificial intelligence paradigms for smart cyber-physical systems:
"This book focuses upon the recent advances in the realization of Artificial Intelligence-based approaches towards affecting secure Cyber-Physical Systems. It features contributions pertaining to this multidisciplinary paradigm, in particular, in its application to building sustainable space by...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global, Publisher of Timely Knowledge
[2021]
|
| Schriftenreihe: | A volume in the Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series
Premier reference source |
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-898 DE-1049 DE-91 DE-706 DE-573 DE-83 Volltext |
| Zusammenfassung: | "This book focuses upon the recent advances in the realization of Artificial Intelligence-based approaches towards affecting secure Cyber-Physical Systems. It features contributions pertaining to this multidisciplinary paradigm, in particular, in its application to building sustainable space by investigating state-of-art research issues, applications and achievements in the field of Computational Intelligence Paradigms for Cyber-Physical Systems" - Provided by publisher |
| Beschreibung: | 1 Online-Ressource (xix, Seiten) Illustrationen, Diagramme |
| ISBN: | 9781799851028 |
| ISSN: | 2327-3461 |
| DOI: | 10.4018/978-1-7998-5101-1 |
Internformat
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| 505 | 8 | |a Section 1. Artificial intelligence and cyber-physical systems. Chapter 1. Engineering AI systems: a research agenda ; Chapter 2. Machine learning in cyber-physical systems in industry 4.0 ; Chapter 3. Explainable artificial intelligence (xai) approaches and deep meta-learning models for cyber-physical systems ; Chapter 4. Artificial intelligence-based solutions for cyber security problems ; Chapter 5. Social perspective of suspicious activity detection in facial analysis: an ML-based approach for the Indian perspective -- Section 2. IDS/IPS for smart cyber-physical systems. Chapter 6. Smart IDS and IPS for cyber-physical systems ; Chapter 7. A survey on network intrusion detection using deep generative networks for cyber-physical systems ; Chapter 8. Malicious URL detection using machine learning ; Chapter 9. Video-based human authentication system for access control -- Section 3. Engineering applications in CPS. Chapter 10. Optimizing wsns for CPS using machine learning techniques ; Chapter 11. Multiplier for DSP application in CPS system ; Chapter 12. IoT applications in smart home security: addressing safety and security threats ; Chapter 13. Applying a methodology in data transmission of discrete events from the perspective of cyber-physical systems environments ; Chapter 14. Cyber-physical system for smart grid ; Chapter 15. Bayesian model for evaluating real-world adaptation progress of a cyber-physical system | |
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| contents | Section 1. Artificial intelligence and cyber-physical systems. Chapter 1. Engineering AI systems: a research agenda ; Chapter 2. Machine learning in cyber-physical systems in industry 4.0 ; Chapter 3. Explainable artificial intelligence (xai) approaches and deep meta-learning models for cyber-physical systems ; Chapter 4. Artificial intelligence-based solutions for cyber security problems ; Chapter 5. Social perspective of suspicious activity detection in facial analysis: an ML-based approach for the Indian perspective -- Section 2. IDS/IPS for smart cyber-physical systems. Chapter 6. Smart IDS and IPS for cyber-physical systems ; Chapter 7. A survey on network intrusion detection using deep generative networks for cyber-physical systems ; Chapter 8. Malicious URL detection using machine learning ; Chapter 9. Video-based human authentication system for access control -- Section 3. Engineering applications in CPS. Chapter 10. Optimizing wsns for CPS using machine learning techniques ; Chapter 11. Multiplier for DSP application in CPS system ; Chapter 12. IoT applications in smart home security: addressing safety and security threats ; Chapter 13. Applying a methodology in data transmission of discrete events from the perspective of cyber-physical systems environments ; Chapter 14. Cyber-physical system for smart grid ; Chapter 15. Bayesian model for evaluating real-world adaptation progress of a cyber-physical system |
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| format | Electronic eBook |
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| id | DE-604.BV047033552 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:03:02Z |
| indexdate | 2024-07-20T06:38:31Z |
| institution | BVB |
| isbn | 9781799851028 |
| issn | 2327-3461 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032440767 |
| oclc_num | 1224481730 |
| open_access_boolean | |
| owner | DE-1050 DE-706 DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-1049 DE-573 DE-83 |
| owner_facet | DE-1050 DE-706 DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-1049 DE-573 DE-83 |
| physical | 1 Online-Ressource (xix, Seiten) Illustrationen, Diagramme |
| psigel | ZDB-98-IGB ZDB-1-IGE ZDB-98-IGB FHD01_IGB_Kauf ZDB-98-IGB TUM_Lizenz ZDB-98-IGB TUB_EBS_IGB |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | IGI Global, Publisher of Timely Knowledge |
| record_format | marc |
| series2 | A volume in the Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series Premier reference source |
| spelling | Artificial intelligence paradigms for smart cyber-physical systems Ashish Kumar Luhach (The PNG University of Technology, Papua New Guinea), Atilla Elçi (Hasan Kalyoncu University, Turkey) Hershey PA, USA IGI Global, Publisher of Timely Knowledge [2021] © 2021 1 Online-Ressource (xix, Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier A volume in the Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series 2327-3461 Premier reference source Section 1. Artificial intelligence and cyber-physical systems. Chapter 1. Engineering AI systems: a research agenda ; Chapter 2. Machine learning in cyber-physical systems in industry 4.0 ; Chapter 3. Explainable artificial intelligence (xai) approaches and deep meta-learning models for cyber-physical systems ; Chapter 4. Artificial intelligence-based solutions for cyber security problems ; Chapter 5. Social perspective of suspicious activity detection in facial analysis: an ML-based approach for the Indian perspective -- Section 2. IDS/IPS for smart cyber-physical systems. Chapter 6. Smart IDS and IPS for cyber-physical systems ; Chapter 7. A survey on network intrusion detection using deep generative networks for cyber-physical systems ; Chapter 8. Malicious URL detection using machine learning ; Chapter 9. Video-based human authentication system for access control -- Section 3. Engineering applications in CPS. Chapter 10. Optimizing wsns for CPS using machine learning techniques ; Chapter 11. Multiplier for DSP application in CPS system ; Chapter 12. IoT applications in smart home security: addressing safety and security threats ; Chapter 13. Applying a methodology in data transmission of discrete events from the perspective of cyber-physical systems environments ; Chapter 14. Cyber-physical system for smart grid ; Chapter 15. Bayesian model for evaluating real-world adaptation progress of a cyber-physical system "This book focuses upon the recent advances in the realization of Artificial Intelligence-based approaches towards affecting secure Cyber-Physical Systems. It features contributions pertaining to this multidisciplinary paradigm, in particular, in its application to building sustainable space by investigating state-of-art research issues, applications and achievements in the field of Computational Intelligence Paradigms for Cyber-Physical Systems" - Provided by publisher Computer networks / Security measures / Data processing Internet of things / Security measures / Data processing Cooperating objects (Computer systems) Artificial intelligence / Industrial applications Artificial intelligence / Industrial applications fast Cooperating objects (Computer systems) fast Luhach, Ashish Kumar edt Elçi, Atilla (DE-588)143544276 edt Erscheint auch als Druck-Ausgabe, hardcover 978-1-7998-5101-1 Erscheint auch als Druck-Ausgabe, hardcover 1-7998-5101-X Erscheint auch als Druck-Ausgabe, softcover 978-1-7998-5846-1 https://doi.org/10.4018/978-1-7998-5101-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Artificial intelligence paradigms for smart cyber-physical systems Section 1. Artificial intelligence and cyber-physical systems. Chapter 1. Engineering AI systems: a research agenda ; Chapter 2. Machine learning in cyber-physical systems in industry 4.0 ; Chapter 3. Explainable artificial intelligence (xai) approaches and deep meta-learning models for cyber-physical systems ; Chapter 4. Artificial intelligence-based solutions for cyber security problems ; Chapter 5. Social perspective of suspicious activity detection in facial analysis: an ML-based approach for the Indian perspective -- Section 2. IDS/IPS for smart cyber-physical systems. Chapter 6. Smart IDS and IPS for cyber-physical systems ; Chapter 7. A survey on network intrusion detection using deep generative networks for cyber-physical systems ; Chapter 8. Malicious URL detection using machine learning ; Chapter 9. Video-based human authentication system for access control -- Section 3. Engineering applications in CPS. Chapter 10. Optimizing wsns for CPS using machine learning techniques ; Chapter 11. Multiplier for DSP application in CPS system ; Chapter 12. IoT applications in smart home security: addressing safety and security threats ; Chapter 13. Applying a methodology in data transmission of discrete events from the perspective of cyber-physical systems environments ; Chapter 14. Cyber-physical system for smart grid ; Chapter 15. Bayesian model for evaluating real-world adaptation progress of a cyber-physical system Computer networks / Security measures / Data processing Internet of things / Security measures / Data processing Cooperating objects (Computer systems) Artificial intelligence / Industrial applications Artificial intelligence / Industrial applications fast Cooperating objects (Computer systems) fast |
| title | Artificial intelligence paradigms for smart cyber-physical systems |
| title_auth | Artificial intelligence paradigms for smart cyber-physical systems |
| title_exact_search | Artificial intelligence paradigms for smart cyber-physical systems |
| title_exact_search_txtP | Artificial intelligence paradigms for smart cyber-physical systems |
| title_full | Artificial intelligence paradigms for smart cyber-physical systems Ashish Kumar Luhach (The PNG University of Technology, Papua New Guinea), Atilla Elçi (Hasan Kalyoncu University, Turkey) |
| title_fullStr | Artificial intelligence paradigms for smart cyber-physical systems Ashish Kumar Luhach (The PNG University of Technology, Papua New Guinea), Atilla Elçi (Hasan Kalyoncu University, Turkey) |
| title_full_unstemmed | Artificial intelligence paradigms for smart cyber-physical systems Ashish Kumar Luhach (The PNG University of Technology, Papua New Guinea), Atilla Elçi (Hasan Kalyoncu University, Turkey) |
| title_short | Artificial intelligence paradigms for smart cyber-physical systems |
| title_sort | artificial intelligence paradigms for smart cyber physical systems |
| topic | Computer networks / Security measures / Data processing Internet of things / Security measures / Data processing Cooperating objects (Computer systems) Artificial intelligence / Industrial applications Artificial intelligence / Industrial applications fast Cooperating objects (Computer systems) fast |
| topic_facet | Computer networks / Security measures / Data processing Internet of things / Security measures / Data processing Cooperating objects (Computer systems) Artificial intelligence / Industrial applications |
| url | https://doi.org/10.4018/978-1-7998-5101-1 |
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