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Recent advances in security, privacy and trust for Internet-of-Things (IoT) and cyber-physical systems (CPS) / edited by Kuan-Ching Li, Brij B. Gupta, and Dharma P. Agrawal.

Contributor(s): Material type: TextTextPublisher: Boca Raton, Florida : CRC Press, 2021Edition: First editionDescription: xiv, 275 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780367685027
Subject(s): DDC classification:
  • 005.8 R243 23
LOC classification:
  • TK5105.8857 .R43 2021
Contents:
An overview of the integration between cloud computing and internet of things (IoT) technologies -- Cyber-physical systems in healthcare: review of architecture, security issues, intrusion detection, and defenses -- The future of privacy and trust on the internet of things (IoT) for healthcare: concepts, challenges and security threats mitigations -- Toward the detection and mitigation of ransomware attacks in medical cyber-physical systems (MCPSs) -- Security challenges and requirements for industrial IoT systems -- Network intrusion detection with XGBoost -- Anomaly detection on encrypted and high-performance data networks by means of machine learning techniques -- Deep learning for network intrusion detection: an empirical assessment -- SPATIO: end-uSer protection against IoT IntrusiOns -- Low power physical layer security solutions for IoT devices -- Some research issues of harmful and violent content filtering for social networks in the context of large-scale and streaming data with apache spark.
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books Books Main Library Graduate School Library GRD 005.8 R243 2021 (Browse shelf(Opens below)) 1-1 Available 028402

Includes bibliographical references and index.

An overview of the integration between cloud computing and internet of things (IoT) technologies -- Cyber-physical systems in healthcare: review of architecture, security issues, intrusion detection, and defenses -- The future of privacy and trust on the internet of things (IoT) for healthcare: concepts, challenges and security threats mitigations -- Toward the detection and mitigation of ransomware attacks in medical cyber-physical systems (MCPSs) -- Security challenges and requirements for industrial IoT systems -- Network intrusion detection with XGBoost -- Anomaly detection on encrypted and high-performance data networks by means of machine learning techniques -- Deep learning for network intrusion detection: an empirical assessment -- SPATIO: end-uSer protection against IoT IntrusiOns -- Low power physical layer security solutions for IoT devices -- Some research issues of harmful and violent content filtering for social networks in the context of large-scale and streaming data with apache spark.

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