Sensing Technologies and Artificial Intelligence for Cyber Security
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 274
Special Issue Editor
Interests: Internet of Things (IoT); IoT security and privacy; dynamic and contextual access control; blockchain for security and privacy; digital forensics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the rapid evolution of technology has revolutionised many aspects of our lives, but it has also created new challenges in cyber security. As organisations and individuals rely more on digital systems, the necessity for comprehensive cyber security measures becomes paramount. The integration of artificial intelligence (AI) and advanced sensing technologies can provide a powerful defence against various types of cyber security attacks. This integration is becoming crucial for organisations to effectively strengthen their defences, identify anomalies, and promptly respond to emerging threats as they navigate increasingly complicated cyber risks.
This Special Issue aims to provide the academic and industrial communities with an excellent resource covering all aspects of current work on the emerging trends of sensing technologies and artificial intelligence for cyber security. We welcome submissions that particularly focus on providing innovative security solutions to resolve real-time security issues. Review articles discussing the current state of the art are also welcome.
Potential topics include but are not limited to the following:
- Privacy-preserving AI for Cyber Security;
- Adversarial machine learning in Cyber Security;
- Cyber threat intelligence analysis;
- Human-centric security with AI;
- Zero-day attack detection with AI;
- Cyber Security in IoT and IIoT;
- Cyber Security of robotics and autonomous systems;
- Blockchain for Cyber Security;
- Deep learning for intrusion detection;
- Behavioural biometrics for authentication;
- Cyber Security for digital manufacturing;
- Blockchain and AI for secure transactions;
- Sensing techniques for secure computing;
- Machine-learning-based threat intelligence;
- Malware detection and prevention;
- Autonomous applications for Cyber Security;
- Cyber Security applications using machine learning;
- Decentralised machine learning;
- Federated learning for Cyber Security;
- Cognitive cyber defence;
- Ethical and regulatory considerations with AI.
Dr. Hany Atlam
Guest Editor
Manuscript Submission Information
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Keywords
- sensing technologies
- AI in cyber security
- privacy-preserving AI for cyber security
- sensing for secure computing
- autonomous applications for cyber security
- blockchain and AI in cyber security
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