Track-1: Behavioral Cybersecurity: AI-Powered and Human-Centric Optimized Strategies

1. Artificial Intelligence in Cybersecurity

2. AI-powered user behavior analytics (UBA) and risk scoring

3. Behavioral Analytics and Insider Threat Detection

4. Behavioral biometrics and digital identity management

5. Cognitive Security in Leveraging Machine Learning for Adaptive Defense

6. Cyber Resilience and Autonomous Incident Response Systems

7. Ethical, Legal, and Societal Implications of AI in Cyber Defense

8. Human-AI Collaboration Co-Designing Secure Digital Infrastructures

9. Human Centric Security Frameworks

10. Neuro-symbolic AI and explainability in cybersecurity decisions

11. Privacy-preserving AI in behavioral monitoring

12. Zero Trust Architectures with AI-Enabled Enforcement

Track-2: Vehicular Networking and Connected Vehicles

1. AI-Driven Resource Allocation in Vehicular Networks

2. Architectures for Cooperative Intelligent Transport Systems

3. Communication Protocols, DSRC, C-V2X, 5G NR-V2X, and 6G V2X

4. Cybersecurity Threats and Trust Management in Communications

5. Decision-Making Algorithms for Connected and Automated Vehicles

6. Edge and Fog Computing for Vehicular Systems

7. Federated and Distributed Learning for Connected Vehicle Ecosystems

8. Multi-Agent Systems and Game Theoretic Models for Vehicular Control

9. Networking, Edge Intelligence, and Data Analytics

10. Smart City Integration, Connected Vehicles and Intelligent Infrastructure

11. Vehicular Networking and Connected Mobility

12. Resilient Control Strategies for Cyber-Physical Vehicular Systems

13. Traffic Flow Optimization with V2X-Enabled Coordination

14. Regulatory, Ethical, and Standardization Perspectives