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Secure Edge Computing Applications, Techniques and Challenges

Secure Edge Computing Applications, Techniques and Challenges

Hot Research Book in Secure Edge Computing Applications, Techniques and Challenges

Author(s) Name:  Mohiuddin Ahmed, Paul Haskell-Dowland

About the Book:

   The internet is making our daily life as digital as possible and this new era is called the Internet of Everything (IoE). Edge computing is an emerging data analytics concept that addresses the challenges associated with IoE. More specifically, edge computing facilitates data analysis at the edge of the network instead of interacting with cloud-based servers. Therefore, more and more devices need to be added in remote locations without any substantial monitoring strategy.
   This increased connectivity and the devices used for edge computing will create more room for cyber criminals to exploit the system-s vulnerabilities. Ensuring cyber security at the edge should not be an afterthought or a huge challenge. The devices used for edge computing are not designed with traditional IT hardware protocols. There are diverse-use cases in the context of edge computing and Internet of Things (IoT) in remote locations.
   There is a clear need for collaborative work throughout the entire value chain of the network. In this context, this book addresses the cyber security challenges associated with edge computing, which provides a bigger picture of the concepts, techniques, applications, and open research directions in this area.

Table of Contents

  • 1 Secure Fog-Cloud of Things: Architectures, Opportunities and Challenges
  • 2 Collaborative and Integrated Edge Security Architecture
  • 3 A Systemic IoT–Fog–Cloud Architecture for Big-Data Analytics and Cyber Security Systems: A Review of Fog Computing
  • 4 Security and Organizational Strategy: A Cloud and Edge Computing Perspective
  • 5 An Overview of Cognitive Internet of Things: Cloud and Fog Computing
  • 6 Privacy of Edge Computing and IoT
  • 7 Reducing the Attack Surface of Edge Computing IoT Networks via Hybrid Routing using Dedicated Nodes
  • 8 Early Identification of Mental Health Disorder Employing Machine Learning-based Secure Edge Analytics: A Real-time Monitoring System
  • 9 Harnessing Artificial Intelligence for Secure ECG Analytics at the Edge for Cardiac Arrhythmia Classification
  • 10 On Securing Electronic Healthcare Records Using Hyperledger Fabric Across the Network Edge
  • 11 AI-Aided Secured ECG Live Edge Monitoring System with a Practical Use-Case
  • 12 Application of Unmanned Aerial Vehicles in Wireless Networks: Mobile Edge Computing and Caching
  • 13 Vehicular Edge Computing Security
  • 14 On Exploiting Blockchain Technology to Approach toward Secured, Sliced, and Edge Deployed Virtual Network Functions for Improvised IoT Services
  • 15 Usage of Blockchain for Edge Computing

    • ISBN:  9780367464141

    Publisher:  Taylor & Francis Group

    Year of Publication:  2021

    Book Link:  Home Page Url