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Security Framework for The Internet of Things Applications

Af: Quan Z. Sheng, Salma Abdalla Hamad, Wei Emma Zhang Engelsk Hardback

Security Framework for The Internet of Things Applications

Af: Quan Z. Sheng, Salma Abdalla Hamad, Wei Emma Zhang Engelsk Hardback
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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 framework for detecting IoT anomalous network traffic
  • Covers an anti-malware solution for detecting malware targeting embedded devices

It will serve as an ideal text for senior undergraduate and graduate students, and professionals in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

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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 framework for detecting IoT anomalous network traffic
  • Covers an anti-malware solution for detecting malware targeting embedded devices

It will serve as an ideal text for senior undergraduate and graduate students, and professionals in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 134
ISBN-13: 9781032409276
Indbinding: Hardback
Udgave:
ISBN-10: 1032409274
Kategori: Automatisk styrings- & reguleringsteknik
Udg. Dato: 29 maj 2024
Længde: 18mm
Bredde: 160mm
Højde: 241mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 29 maj 2024
Forfatter(e): Quan Z. Sheng, Salma Abdalla Hamad, Wei Emma Zhang
Forfatter(e) Quan Z. Sheng, Salma Abdalla Hamad, Wei Emma Zhang

Kategori Automatisk styrings- & reguleringsteknik

ISBN-13 9781032409276

Sprog Engelsk

Indbinding Hardback

Sider 134

Udgave

Længde 18mm

Bredde 160mm

Højde 241mm

Udg. Dato 29 maj 2024

Oplagsdato 29 maj 2024

Forlag Taylor & Francis Ltd

Kategori sammenhænge