Description

Book Synopsis

The text highlights a comprehensive survey that focuses on all security aspects and challenges facing the Internet of Things systems, including outsourcing techniques for partial computations on edge or cloud while presenting case studies to map security challenges. It further covers three security aspects including Internet of Things device identification and authentication, network traffic intrusion detection, and executable malware files detection.

This book:

  • Presents a security framework model design named Behavioral Network Traffic Identification and Novelty Anomaly Detection for the IoT Infrastructures
  • Highlights recent advancements in machine learning, deep learning, and networking standards to boost Internet of Things security
  • Builds a near real-time solution for identifying Internet of Things devices connecting to a network using their network traffic traces and providing them with sufficient access privileges
  • Develops a robust f

Security Framework for The Internet of Things

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    £999.99

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    A Hardback by Salma Abdalla Hamad

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      View other formats and editions of Security Framework for The Internet of Things by Salma Abdalla Hamad

      Publisher: CRC Press
      Publication Date: 5/29/2024
      ISBN13: 9781032409276, 978-1032409276
      ISBN10: 1032409274

      Description

      Book Synopsis

      The text highlights a comprehensive survey that focuses on all security aspects and challenges facing the Internet of Things systems, including outsourcing techniques for partial computations on edge or cloud while presenting case studies to map security challenges. It further covers three security aspects including Internet of Things device identification and authentication, network traffic intrusion detection, and executable malware files detection.

      This book:

      • Presents a security framework model design named Behavioral Network Traffic Identification and Novelty Anomaly Detection for the IoT Infrastructures
      • Highlights recent advancements in machine learning, deep learning, and networking standards to boost Internet of Things security
      • Builds a near real-time solution for identifying Internet of Things devices connecting to a network using their network traffic traces and providing them with sufficient access privileges
      • Develops a robust f

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