FinUniversity Electronic Library

     

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Advances in information security, privacy, and ethics (AISPE) book series.
Applied approach to privacy and security for the internet of things / Parag Chatterjee, Emmanuel Benoist, Asoke Nath. — 1 online resource (xix, 295 pages) : color illustrations. — (Advances in information security, privacy, and ethics (AISPE) book series). — "Premier Reference Source" -- taken from front cover. — <URL:http://elib.fa.ru/ebsco/2514634.pdf>.

Record create date: 9/6/2019

Subject: Internet of things — Security measures.; Embedded Internet devices — Security measures.; Computer networks — Security measures.; Internet des objets — Sécurité — Mesures.; Internet intégré — Sécurité — Mesures.; Réseaux d'ordinateurs — Sécurité — Mesures.; Computer networks — Security measures.

Collections: EBSCO

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Network: Internet

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"This book examines the conceptual aspects of security and privacy in IoT. It also explores the application of IoT systems in smart transports, smart cities, and smart healthcare"--.

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Table of Contents

  • Cover
  • Title Page
  • Copyright Page
  • Book Series
  • Table of Contents
  • Detailed Table of Contents
  • Foreword
  • Preface
  • Section 1:
    • Chapter 1: IoT Forensic Science
    • Chapter 2: Key Vulnerabilities in Internet of Things
    • Chapter 3: Real-Time, Cross-Platform Detection of Spectre and Meltdown Attack Variants
    • Chapter 4: Anomaly Detection in IoT Frameworks Using Machine Learning
    • Chapter 5: Collision Avoidance Methodology in Internet of Things and Wireless Ad hoc Network
    • Chapter 6: How to Authenticate MQTT Sessions Without Channel and Broker Security
  • Section 2:
    • Chapter 7: Patient Empowerment in IoT for eHealth
    • Chapter 8: Security and Privacy Vulnerabilities in Automated Driving
    • Chapter 9: Using Freenet as a Broker for Multi-Party Data Exchange in IoT for Health
    • Chapter 10: Information Security Management System
    • Chapter 11: Vulnerabilities of Smart Homes
    • Chapter 12: IoT-Controlled Railway Gate System With ML Object Detection Approach
  • Compilation of References
  • About the Contributors
  • Index

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