Secure Edge Computing

Applications, Techniques and Challenges
Herausgeber: Ahmed, Mohiuddin; Haskell-Dowland, Paul

• Gebundenes Buch

Produktbeschreibung

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 to address the challenges associated with IoE that facilitates data analysis at the edge of the network.

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Produktdetails

• Verlag: CRC Press
• Seitenzahl: 280
• Erscheinungstermin: 13. August 2021
• Englisch
• Abmessung: 254mm x 178mm x 19mm
• Gewicht: 748g
• ISBN-13: 9780367464141
• ISBN-10: 0367464144
• Artikelnr.: 62222858

Autorenporträt

Dr. Mohiuddin Ahmed is currently working as Lecturer of Computing and Security in the School of Science at Edith Cowan University. Mohiuddin has been working in the areas of data analytic and cyber security, in particular false data injection attacks in Internet of Health Things (IoHT) and Internet of Flying Things (IoFT). His research projects are funded by different external agencies. He has edited books on data analytics, security analytics, blockchain and other contemporary issues. He has also engaged with media outlets such as newspaper, magazine, The Conversation etc. He is also an ACM Distinguished Speaker, Australian Computer Society Certified Professional and a Senior Member of IEEE. Associate Professor Paul Haskell-Dowland is the Associate Dean for Computing and Security in the School of Science at Edith Cowan University. Paul has delivered keynotes, invited presentations, workshops, professional development/training and seminars across the world for audiences including RSA Security, ITU and IEEE. He has appeared on local and national media (newspaper, radio and tv) commenting on current cyber issues as well as contributions through articles published in The Conversation. Paul has more than 20 years of experience in cyber security research and education in both the UK and Australia.

Inhaltsangabe

Section I. 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, Fog and Edge Computing 6. Privacy of
Edge Computing and IoT Section II. 7. Reducing 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 Section III.12.
Application of Unmanned Aerial Vehicles in Wireless Networks: Mobile Edge
Computing and Caching 13. Vehicular Edge Computing Security Section III.
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.