Hybrid Conferencee

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

15th - 16th October 2026 | Munich, Germany

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

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:
"Abstract submissions for the Munich event are now open! Don’t miss the chance to present your research. Submit now."
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."

Call for Paper

The IC2NS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Cybersecurity, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Neural networks in cybersecurity applications
02
Machine learning for threat detection
03
AI-driven security analytics techniques
04
Case studies of neural networks in security
05
Data privacy in AI applications
06
Adversarial attacks on neural networks
07
Integration of AI in incident response
08
User behavior modeling with neural networks
09
Future trends in AI for cybersecurity
10
Ethical considerations in AI security
11
Neural networks for malware detection
12
Collaboration in AI security research
13
Risk assessment of AI applications
14
Neural networks for network security
15
Best practices for AI in cybersecurity
16
AI-driven vulnerability management
17
Security challenges in AI implementations
18
Neural networks for data protection
19
AI applications in e-government security
20
Emerging technologies in AI security