Hybrid Conferencee

International Conference on Cybersecurity Applications of Machine Learning (ICCAM - 26)

8th - 9th September 2026 | Tallinn, Estonia

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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 Tallinn. 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 Tallinn 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 Tallinn conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Tallinn, 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 Tallinn."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCAM 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 Machine Learning, 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
Machine learning for cybersecurity applications
02
Anomaly detection in network security
03
AI-driven threat intelligence solutions
04
Predictive analytics for cyber threats
05
Behavioral analysis for security monitoring
06
Machine learning in malware detection
07
Automated incident response with AI
08
Security of machine learning models
09
Data privacy in machine learning applications
10
Collaborative defense strategies using AI
11
Challenges in cybersecurity machine learning
12
Real-time threat detection with ML
13
Ethical implications of AI in security
14
Machine learning for fraud detection
15
Impact of AI on cybersecurity workforce
16
Future trends in cybersecurity and AI
17
Integrating machine learning into security operations
18
AI for vulnerability assessment and management
19
User behavior analytics for security
20
Machine learning in risk management