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Salma Abdalla (Maquarie university, Australia) Hamad & Quan Z. Sheng 
Security Framework for The Internet of Things Applications 

Wsparcie

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 Io T 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 Io T 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.

€78.33
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Format EPUB ● Strony 152 ● ISBN 9781040027370 ● Wydawca Taylor & Francis Ltd ● Opublikowany 2024 ● Do pobrania 3 czasy ● Waluta EUR ● ID 9429748 ● Ochrona przed kopiowaniem Adobe DRM
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