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Call For Papers

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  • Call For Papers

Prospective authors are invited to contribute high-quality papers by the submission deadline through the online submission system. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality and clarity.

Tracks

Tracks

  • • AI-driven Threat Detection and Prevention.
  • • Machine Learning for Intrusion Detection Systems.
  • • Automated Malware Analysis and Classification.
  • • AI in Security Information and Event Management (SIEM).
  • • Deep Learning for Cyber Threat Intelligence.

  • • Adversarial Attacks and Defenses in AI Models
  • • Privacy-Preserving AI and Federated Learning
  • • Secure AI Model Deployment and Monitoring
  • • Trustworthiness and Explainability in AI-driven Security
  • • AI-based Phishing and Social Engineering Detection

  • • AI-powered Cryptanalysis and Quantum Cryptography
  • • Blockchain for AI Security and Privacy
  • • Homomorphic Encryption and Secure Multi-party Computation
  • • Privacy-preserving Data Sharing and Federated Learning
  • • Secure Communication Protocols in AI-driven Systems

  • • AI-assisted Digital Forensics Investigations
  • • Cybercrime Detection using Machine Learning
  • • Automated Evidence Collection and Analysis
  • • AI-based Behavioral Profiling for Insider Threats
  • • Deepfake and Synthetic Media Forensics

  • • AI and Cybersecurity Governance Frameworks
  • • Ethical Implications of AI in Cyber Defence
  • • Legal and Compliance Challenges in AI-based Cybersecurity
  • • Global Cybersecurity Policies and AI-driven Warfare
  • • Privacy Regulations and AI-based Data Protection

  • • AI-based Anomaly Detection in Networks
  • • Securing Cloud-based AI Applications
  • • AI in Zero Trust Architectures
  • • AI-driven Authentication and Identity Management
  • • AI in IoT Security and Edge Computing

  • • AI-based Financial Fraud Detection
  • • AI-driven Risk Scoring and Anomaly Detection
  • • AI for Fake News and Misinformation Detection
  • • AI in Cyber Insurance and Risk Mitigation
  • • AI-driven Behavioral Biometrics for Fraud Prevention