International Conference on Neural Networks in Security Applications ICNNSA

Call For Papers

The ICNNSA 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 Robotics , 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 for intrusion detection systems

Machine learning applications in security

Deep learning for malware classification

Neural network architectures for security applications

Case studies on neural networks in security

Adversarial attacks on neural networks

Ethical considerations in AI security applications

Neural networks for threat intelligence analysis

Performance evaluation of neural network models

Integration of AI in security operations

Future trends in neural networks for security

Neural networks for anomaly detection

Explainable AI in security applications

Neural networks for secure communications

Collaborative approaches to AI in security

Neural networks for data privacy protection

Impact of AI on cybersecurity strategies

Neural networks in IoT security applications

Best practices for deploying AI in security

Challenges in neural network security applications

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