Information

  • Home
  • Call for Paper

Call For Papers

The IC2NS bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Cybersecurity, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • 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

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.