Secure Edge Computing

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.

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.