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Artificial intelligence paradigms fo...

Luhach, Ashish Kumar, (1985-)

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Artificial intelligence paradigms for smart cyber-physical systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence paradigms for smart cyber-physical systems/ Ashish Kumar Luhach and Atilla Elçi, editors.
other author:	Luhach, Ashish Kumar,
Published:	Hershey, Pennsylvania :IGI Global, : 2021,
Description:	1 online resource (xix, 392 p.)
[NT 15003449]:	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.
Subject:	Computer networks - Security measures -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5101-1
ISBN:	9781799851028 (ebk.)

Artificial intelligence paradigms for smart cyber-physical systems
Artificial intelligence paradigms for smart cyber-physical systems[electronic resource] /Ashish Kumar Luhach and Atilla Elçi, editors. - Hershey, Pennsylvania :IGI Global,2021 - 1 online resource (xix, 392 p.)

Includes bibliographical references and index.

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.

Restricted to subscribers or individual electronic text purchasers.

"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"--

ISBN: 9781799851028 (ebk.)Subjects--Topical Terms:

3464235
Computer networks
--Security measures

LC Class. No.: TK5105.59 / .A78 2021e

Dewey Class. No.: 005.8

Artificial intelligence paradigms for smart cyber-physical systems
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020 $a 9781799851028 (ebk.)
020 $a 9781799851011 (hbk.)
020 $a 9781799858461 (pbk.)
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050 0 0 $a TK5105.59 $b .A78 2021e
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245 0 0 $a Artificial intelligence paradigms for smart cyber-physical systems $h [electronic resource] / $c Ashish Kumar Luhach and Atilla Elçi, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2021
300 $a 1 online resource (xix, 392 p.)
504 $a Includes bibliographical references and index.
505 0 $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.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "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"-- $c Provided by publisher.
650 0 $a Computer networks $x Security measures $x Data processing. $3 3464235
650 0 $a Internet of things $x Security measures $x Data processing. $3 3464236
650 0 $a Cooperating objects (Computer systems) $3 2055414
650 0 $a Artificial intelligence $x Industrial applications. $3 653318
700 1 $a Luhach, Ashish Kumar, $d 1985- $e editor. $3 3464233
700 1 $a Elçi, Atilla, $e editor. $3 3464234
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5101-1