AI is changing both attack and defence. This track invites research on machine learning for intrusion, malware and anomaly detection, generative AI and large language models for security operations, adversarial machine learning and AI model security, deepfakes and AI-enabled fraud, automated vulnerability discovery and red teaming, and cyber threat intelligence and digital forensics.
Topics of interest in AI for Cyber Defence and Threat Intelligence
Submissions to this track of International Conference on the Future of Health, Cybersecurity, and Education should address one or more of the following areas. Papers that connect several topics, or that link this track to the other health, cybersecurity and education conference tracks, are especially welcome.
- Machine learning for intrusion, malware and anomaly detection
- Generative AI and large language models for security operations
- Adversarial machine learning and AI model security
- Deepfakes, misinformation and AI-enabled fraud
- Automated vulnerability discovery and red teaming
- Cyber threat intelligence and digital forensics
Who should submit to this track
Cybersecurity researchers, security operations professionals, machine learning engineers, forensic analysts and graduate students working at the intersection of AI and security are invited to contribute.
How to submit and what happens next
Prepare your abstract or full paper with the paper submission guidelines and templates, then upload it through the Microsoft CMT portal before December 31, 2026. Reviewed papers are announced on February 10, 2027; camera-ready papers are due April 10, 2027. Authors can then complete their conference registration (hybrid: onsite or online presentation) and plan their trip to Edmonton, Alberta, Canada; visitors from abroad can check the visa and travel information.
Related iCOF 2027 tracks
- Secure and Resilient Digital Infrastructure: cloud, edge and IoT security, zero trust, post-quantum cryptography.
- Responsible AI: Ethics, Trust, Governance and Policy: trustworthy AI, regulation, privacy law, ethics and public trust.
- Healthcare Cybersecurity and Health Data Privacy: securing medical devices, ransomware response and privacy-preserving health data.
Back to all iCOF 2027 conference tracks, the call for papers or the iCOF 2027 home page.