Hybrid Conferencee

International Conference on Neural Networks for Security (IC2NS - 26)

15th - 16th October 2026 | Munich, Germany

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Munich. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Munich conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Munich, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Munich."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 16
SDG 16 Peace, Justice and Strong Institutions
Track 01

Neural Networks in Threat Detection

This track focuses on the application of neural networks for identifying and mitigating security threats. Papers should explore innovative models and techniques for enhancing threat detection capabilities in various environments.

Track 02

Deep Learning Approaches to Cybersecurity

This session invites contributions that leverage deep learning methodologies to address contemporary cybersecurity challenges. Emphasis will be placed on novel architectures and training strategies that improve security outcomes.

Track 03

Anomaly Detection Techniques Using Neural Networks

This track aims to showcase research on neural network-based anomaly detection systems. Contributions should highlight methodologies that effectively identify deviations from normal behavior in network traffic and user activities.

Track 04

AI-Driven Intrusion Detection Systems

This session will explore the integration of artificial intelligence in intrusion detection systems. Papers should discuss the effectiveness of neural networks in recognizing and responding to unauthorized access attempts.

Track 05

Malware Detection with Neural Networks

This track focuses on the development of neural network models for the detection and classification of malware. Research should address the challenges of evolving malware tactics and the effectiveness of AI-driven solutions.

Track 06

Neural Network Authentication Mechanisms

This session invites research on innovative authentication methods utilizing neural networks. Contributions should explore how these methods enhance security while maintaining user convenience.

Track 07

Adversarial AI in Cyber Defense

This track will delve into the challenges posed by adversarial AI techniques in cybersecurity. Papers should investigate strategies for defending against adversarial attacks on neural network models.

Track 08

Predictive Security Models Using Neural Networks

This session focuses on the development of predictive models that utilize neural networks to forecast potential security threats. Research should highlight the effectiveness of these models in proactive security measures.

Track 09

Cognitive Security and Behavioral Analysis

This track invites contributions that explore the intersection of cognitive security and behavioral analysis through neural models. Papers should discuss how understanding user behavior can enhance security protocols.

Track 10

Reinforcement Learning for Cybersecurity Applications

This session will explore the use of reinforcement learning techniques in developing adaptive cybersecurity solutions. Contributions should focus on how these approaches can improve response strategies to evolving threats.

Track 11

Neural Cryptography and Secure Communication

This track focuses on the application of neural networks in cryptographic systems to enhance secure communication. Research should explore novel cryptographic techniques that leverage neural architectures for improved security.