Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Neural networks in cybersecurity applications
- Machine learning for threat detection
- AI-driven security analytics techniques
- Case studies of neural networks in security
- Data privacy in AI applications
- Adversarial attacks on neural networks
- Integration of AI in incident response
- User behavior modeling with neural networks
- Future trends in AI for cybersecurity
- Ethical considerations in AI security
- Neural networks for malware detection
- Collaboration in AI security research
- Risk assessment of AI applications
- Neural networks for network security
- Best practices for AI in cybersecurity
- AI-driven vulnerability management
- Security challenges in AI implementations
- Neural networks for data protection
- AI applications in e-government security
- Emerging technologies in AI security
All papers must be original and not previously published or submitted elsewhere.