Registration summary
ConferenceICNNSA
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICNNSA conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Neural Networks for Threat Detection +
This track focuses on the application of neural networks in identifying and mitigating security threats. Researchers are invited to present innovative approaches that leverage deep learning for real-time threat detection.
02 Anomaly Detection Techniques in Security +
This session explores advanced anomaly detection methodologies utilizing neural networks. Contributions should highlight novel algorithms and their effectiveness in various security contexts.
03 Malware Detection Using Deep Learning +
This track emphasizes the role of deep learning in the detection and classification of malware. Papers should discuss the development of neural network architectures that enhance malware identification accuracy.
04 Intrusion Detection Systems with Neural Networks +
This session invites research on the integration of neural networks into intrusion detection systems. Submissions should focus on innovative techniques that improve the detection of unauthorized access and breaches.
05 Neural Networks for Authentication Mechanisms +
This track examines the use of neural networks in enhancing authentication processes. Researchers are encouraged to present methods that improve security while maintaining user convenience.
06 Adversarial Neural Networks in Security Applications +
This session delves into the challenges and solutions presented by adversarial neural networks in security contexts. Contributions should address the vulnerabilities and defenses associated with adversarial attacks.
07 Neural Networks for Data Encryption +
This track focuses on the application of neural networks in developing advanced encryption techniques. Papers should explore innovative approaches to secure data transmission and storage.
08 Forensic Applications of Neural Networks +
This session highlights the use of neural networks in forensic investigations. Researchers are invited to discuss methodologies that enhance evidence analysis and interpretation.
09 Phishing Detection with Neural Models +
This track explores the application of neural networks in identifying and preventing phishing attacks. Contributions should focus on the effectiveness of various models in detecting deceptive communications.
10 Behavioral Analysis Using Neural Networks +
This session examines the role of neural models in behavioral analysis for security purposes. Papers should present insights into how behavioral patterns can be leveraged to enhance security measures.
11 Reinforcement Learning for Security Applications +
This track investigates the intersection of reinforcement learning and security. Researchers are encouraged to present novel applications that utilize reinforcement learning to improve security protocols and systems.
