Flex Conference (Physical / Digital)

International Conference on Neural Networks in Security Applications - (ICNNSA-26)

17th - 18th October 2026 , Bogota - Colombia

Registration Options

Access Flexible Participation Categories

Call For Papers

The (ICNNSA-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Robotics are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.