Guest Editors
Dr. Parminder Singh, University Mohammed VI Polytechnic, Morocco.
Dr. Kia Dashtipour, Edinburgh Napier University, UK.
Dr. Mandar Gogate, Edinburgh Napier University, UK.
Summary
Edge-of-Things (EoT) is revolutionizing numerous research domains such as energy, manufacturing, healthcare, and banking. The researchers in the past put the efforts to model intrusion detection systems (IDSs) via statistical, mathematic, machine learning, and artificial intelligence (AI) techniques. However, the increasing pace of digitalization trends also prevalent for threats and cyber attacks. Traditional defensive techniques are not efficient against robust, intelligent and covert malwares and attacks. Many recent cyber attack events escalate the demand of intelligent intrusion detection and trust provisioning techniques for critical EoT ecosystem. The primary concerns identified from the literature are: (i) Lack of trust provisioning models in EoT infrastructure, (ii) required augmented intelligence in EoT, (iii) lack to benchmark dataset to test and validate the new anomaly detection models, (iv) false-positive rate is very high. This special issue aims to host the well documented intelligent solutions for various concerns in intrusion detection and trust provisioning in the existing EoT techniques. The contribution of researchers is invited for the novel techniques, tools, datasets, and algorithms in this domain. This special issue will also accept survey articles.
Keywords
1. EoT architectures, frameworks and models for IDS;
2. Trust provisioning paradigms for the EoT;
3. Resource management and orchestration at EoT;
4 Serverless computing at EoT;
5. Federated learning for IDS and Trust Management at EoT;
6. Computation offloading to Fog and Cloud from EoT;
7. Edge handoff mechanisms, strategies, and management;
8. Performance evaluation benchmarks for EoT applications and infrastructure;
9. EoT industrial use cases;
10. Load balancing and scalability in EoT infrastructure;
11. EoT for transportation in smart cities;
12. AI and Machine Learning for EoT;
13. EoT in futuristic technologies (5G/6G, Industry 4.0/5.0);
14. Security and privacy aspects of federated Edge learning systems;
15. Trust management for EoT ecosystems;
16. Data security, privacy, and trust provisioning
Published Papers
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