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. However, the cyber security configuration and software updates are often overlooked when they are most needed to fight cyber crime and ensure data privacy. Therefore, the threat landscape in the context of edge computing becomes wider and far more challenging.
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. In addition, the book serves as a single source of reference for acquiring the knowledge on the technology, process and people involved in next generation computing and security. It will be a valuable aid for researchers, higher level students and professionals working in the area.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Für höhere Schule und Studium
Academic, Postgraduate, Professional, and Undergraduate Advanced
Illustrationen
109 s/w Abbildungen, 105 s/w Zeichnungen, 19 s/w Tabellen, 4 s/w Photographien bzw. Rasterbilder
19 Tables, black and white; 105 Line drawings, black and white; 4 Halftones, black and white; 109 Illustrations, black and white
Maße
Höhe: 260 mm
Breite: 183 mm
Dicke: 21 mm
Gewicht
ISBN-13
978-0-367-46414-1 (9780367464141)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
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.
