Safety, Security and Privacy for Cyber-Physical Systems

Released on by Riccardo M.G. Ferrari
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  • Safety, Security and Privacy for Cyber-Physical Systems Book Detail

  • Author : Riccardo M.G. Ferrari
  • Release Date : 2021-06-08
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 394
  • ISBN 13 : 3030650480
  • File Size : 16,16 MB
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Safety, Security and Privacy for Cyber-Physical Systems by Riccardo M.G. Ferrari PDF Summary

Book Description: This book presents an in-depth overview of recent work related to the safety, security, and privacy of cyber-physical systems (CPSs). It brings together contributions from leading researchers in networked control systems and closely related fields to discuss overarching aspects of safety, security, and privacy; characterization of attacks; and solutions to detecting and mitigating such attacks. The book begins by providing an insightful taxonomy of problems, challenges and techniques related to safety, security, and privacy for CPSs. It then moves through a thorough discussion of various control-based solutions to these challenges, including cooperative fault-tolerant and resilient control and estimation, detection of attacks and security metrics, watermarking and encrypted control, privacy and a novel defense approach based on deception. The book concludes by discussing risk management and cyber-insurance challenges in CPSs, and by presenting the future outlook for this area of research as a whole. Its wide-ranging collection of varied works in the emerging fields of security and privacy in networked control systems makes this book a benefit to both academic researchers and advanced practitioners interested in implementing diverse applications in the fields of IoT, cooperative autonomous vehicles and the smart cities of the future.

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Advances in Neural Networks- ISNN 2013

Advances in Neural Networks- ISNN 2013

File Size : 21,21 MB
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The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, Ch