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Princeton University Library Catalog
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Artificial intelligence paradigms for smart cyber-physical systems / Ashish Kumar Luhach and Atilla Elçi, editors.
Author
Luhach, Ashish Kumar, 1985-
[Browse]
Format
Book
Language
English
Published/Created
Hershey, Pennsylvania : IGI Global, [2021]
©2021
Description
25 PDFs (392 pages)
Availability
Available Online
IGI Global InfoSci-Books
Details
Subject(s)
Computer networks
—
Security measures
—
Data processing
[Browse]
Internet of things
—
Security measures
—
Data processing
[Browse]
Cooperating objects (Computer systems)
[Browse]
Artificial intelligence
—
Industrial applications
[Browse]
Editor
Luhach, Ashish Kumar, 1985-
[Browse]
Elçi, Atilla
[Browse]
Series
Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series.
[More in this series]
Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series
Summary note
"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.
Bibliographic references
Includes bibliographical references and index.
System details
Mode of access: World Wide Web.
Source of description
Description based on print version record.
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.
Other format(s)
Also available in print.
ISBN
9781799851028 (ebook)
OCLC
1204227580
Doi
10.4018/978-1-7998-5101-1
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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