Artificial Intelligence and Sensor Systems: From Attack Detection to Cyber Security
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 25 August 2026 | Viewed by 6
Special Issue Editors
Interests: network security; intrusion detection; digital forensics; threat intelligence
Special Issue Information
Dear Colleagues,
The rapid growth of cyber threats in today’s interconnected world has highlighted the urgent need for intelligent and adaptive defense mechanisms. Traditional rule-based and signature-based security systems are no longer sufficient against evolving attacks, especially those leveraging advanced technologies. Artificial Intelligence (AI) has emerged as a transformative force in cybersecurity, offering new pathways for real-time attack detection, automated response, and proactive defense strategies.
This Special Issue aims to explore the intersection of AI, sensors and cybersecurity, showcasing the latest research developments, practical applications, and theoretical advances. By focusing on AI-enabled methods for detecting and mitigating cyber threats, we seek to highlight innovative approaches that strengthen digital resilience across critical infrastructures, cloud computing, IoT, and enterprise systems. The scope aligns with the journal’s mission to disseminate cutting-edge multidisciplinary research that addresses pressing technological and societal challenges.
We warmly invite researchers, practitioners, and experts from academia and industry to contribute original research articles, comprehensive reviews, and case studies. Research areas may include, but are not limited to, the following:
- AI-driven intrusion detection and prevention systems;
- Machine learning for malware and ransomware detection;
- Deep learning for anomaly and threat detection;
- Adversarial AI and security challenges;
- Cyber threat intelligence and predictive analytics;
- AI in IoT and cloud security;
- Privacy-preserving AI for cybersecurity;
- Case studies and real-world applications of AI in security.
We look forward to receiving your valuable contributions.
Prof. Dr. Hongli Zhang
Dr. Dongyang Zhan
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- cybersecurity
- attack detection
- intrusion detection systems
- adversarial machine learning
- threat intelligence
- digital resilience
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