Special Symposium on AI for Cybersecurity, Trustworthy Systems and Digital Infrastructure

Artificial Intelligence is becoming an important component of modern cybersecurity systems, enabling faster detection, correlation, investigation and response to increasingly sophisticated cyber threats. At the same time, the growing adoption of foundation models, autonomous agents, cloud-edge systems and interconnected digital infrastructure is creating new security, privacy and trust challenges.

The Special Symposium on AI for Cybersecurity, Trustworthy Systems and Digital Infrastructure invites original research addressing both the use of AI for strengthening cybersecurity and the security and trustworthiness of AI systems themselves.

Topics of Interest

• AI-driven cyber threat detection
• Intrusion and anomaly detection
• Intelligent malware and ransomware detection
• Cyber-resilience and adaptive defence
• AI-assisted incident response
• Security of Large Language Models
• Security of Generative AI and agentic systems
• Prompt injection and adversarial prompting
• Model extraction, data leakage and model security
• Deepfake detection and media authenticity
• Synthetic-content and multimedia forensics
• Adversarial machine learning
• Robust and trustworthy AI
• Explainable AI for cybersecurity
• Zero-trust architectures and intelligent access control
• Identity and behavioural intelligence
• Privacy-preserving machine learning
• Federated learning for cybersecurity
• IoT and cyber-physical system security
• Edge and cloud security
• Digital forensics and AI-assisted investigation
• Fraud detection and financial cybersecurity
• Secure Digital Public Infrastructure
• Security analytics and threat intelligence
• AI security governance and assurance
• Security and resilience of India's Digital Public Infrastructure
• AI-assisted cybercrime, fraud and digital-forensic investigation in large-scale digital ecosystems

Paper Submission and Review

Authors are invited to submit original and unpublished research papers through the ICogSys 2026 EDAS submission system.

All submissions will undergo a rigorous double-blind peer-review process. Papers will be evaluated based on originality, technical quality, methodological rigour, significance, relevance and clarity of presentation.

Proceedings

Peer-reviewed and selected symposium papers will be considered for inclusion in the ICogSys 2026 Springer Lecture Notes in Networks and Systems (LNNS) proceedings, subject to the conference selection criteria and Springer's quality and publication requirements.

Important Dates