International Conference on Neural Networks for Security IC2NS

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

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

Registration

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

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Publication

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

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Hybrid Event