Loading…

Security, privacy and trust in the IoT environment

The Internet of Things (IoT) is a network of devices and smart things that provides a pervasive environment in which people can interact with both the cyber and physical worlds. As the number and variety of connected objects continue to grow and the devices themselves become smarter, users expectati...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Mahmood, Zaigham (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2019]
Physical Description:
1 online resource.
Subjects:
Online Access:SpringerLink - Click here for access
Contents:
  • Part I: Security and Privacy in IoT: Technologies and Frameworks
  • Chapter 1. Managing Cyber Security Risks of SCADA Networks of Critical Infrastructures in the IoT Environment
  • Chapter 2. Energy-Perceptive Authentication in Virtual Private Networks using GPS Data
  • Chapter 3. Mitigating Threats and Vulnerabilities of RFID in IoT Through Outsourcing Computations for Public Key Cryptography
  • Chapter 4. Multidisciplinary Intel Fusion Technique for Proactive Cyber-Intelligence Model for the IoT
  • Chapter 5. Countering the IoT-Powered Volumetric Cyber Attacks with Next Generation Cyber Firewall: Seddulbahir
  • Chapter 6. Blockchain for Ensuring Security, Privacy and Trust in IoT Environments: The State of The Art
  • Chapter 7. A Novel Quantum Encryption and Authentication Framework integrated with IoT
  • PART II: Privacy and Trust in IoT: Healthcare applications and IoV
  • Chapter 8. Internet of Things in the Healthcare Sector: Overview of Security and Privacy Issues
  • Chapter 9. A Comparative Study in the Application of IoT in Health Care: Data Security in Telemedicine
  • Chapter 10. Trust Management for Software-defined Heterogeneous Vehicular Ad hoc Networks
  • Chapter 11. A Novel Privacy Preserving Scheme for Cloud-Enabled Internet of Vehicles Users
  • Chapter 12. Securing Packet Transmission through Trusted Shortest Network Path using Fuzzy Forecasting for Mobility of MANET Nodes.