Introduction
As the proliferation of Internet of Things (IoT) devices and the increasing reliance on cloud computing continue to shape our interconnected world, securing data and ensuring privacy at the edge have become critical challenges. By leveraging Artificial Intelligence (AI) at the edge, organisations are able to address potential threats and security challenges in various scenarios. For example, in the context of intelligent transportation systems, AI at the edge facilitates the management and monitoring of the in-vehicle network as well as the Internet of Vehicles and the surrounding environment. This enhances the safety and security of autonomous vehicles and improves their decision-making capabilities. However, it is important to note that while AI offers significant benefits in detecting and preventing security violations, it could also be used by malicious actors to develop new attacks or exploit system weaknesses, an example of which is the fooling of autonomous vehicles and their visual classification algorithms using adversarial traffic signs. This special issue seeks to address emerging security needs by leveraging AI techniques and fostering innovative approaches for safeguarding edge computing environments. Both theoretical and applied studies are encouraged.
Scope of the Special Issue
The scope of the special issue covers AI-based methods at the edge for
- threat hunting, threat intelligence and early warning systems
- intrusion detection systems
- zero trust implementations
- quantum computing
- privacy-preserving techniques
- secure data aggregation and analytics
- federated learning
- malware detection and mitigation strategies
- authentication and access control mechanisms
- edge-native security monitoring and incident response systems
- secure IoT deployments
- secure edge-to-cloud communication protocols and encryption techniques
- video surveillance and object recognition
- biometrics
- energy-efficient algorithms
- case studies and real-world implementations
- other relevant topics
Timeline
- Manuscript submission: 31 January 2024
- First round of decisions: 31 March 2024
- Revisions due: 30 April 2024
- Second round of decisions: 30 June 2024
Guest Editors
- Malka N. Halgamuge, RMIT University, Australia, [email protected]
- Dipankar Dasgupta, The University of Memphis, USA, [email protected]
- Alireza Jolfaei, Flinders University, Australia, [email protected]
- Chia-Feng Juang, National Chung Hsing University, Taiwan, [email protected]
Submission Instructions