Details
Title | Advances in information security, privacy, and ethics (AISPE) book series. — Applied approach to privacy and security for the internet of things |
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Other creators | Chatterjee Parag ; Benoist Emmanuel ; Nath Asoke |
Collection | Электронные книги зарубежных издательств ; Общая коллекция |
Subjects | 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. ; EBSCO eBooks |
Document type | Other |
File type | |
Language | English |
Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
Record key | on1120783759 |
Record create date | 9/6/2019 |
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Group | Anonymous |
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Network | Internet |
"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"--.
Network | User group | Action |
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ILC SPbPU Local Network | All |
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Internet | Authorized users SPbPU |
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Internet | Anonymous |
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- 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