International Conference on

Data Security using Machine Learning (ICDSML-26)

12th – 13th Oct 2026 | Nagoya, Japan | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Data Security using Machine Learning invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Machine learning for cybersecurity
02
Data encryption techniques using ML
03
Anomaly detection in network security
04
Threat intelligence using machine learning
05
Privacy-preserving machine learning methods
06
Fraud detection in financial systems
07
Security challenges in ML applications
08
Data integrity in machine learning
09
Machine learning for malware detection
10
Risk assessment using predictive analytics
11
Secure data sharing in ML systems
12
Adversarial machine learning techniques
13
Incident response using machine learning
14
Vulnerability assessment in software systems
15
Machine learning for identity verification
16
Security protocols for ML models
17
Future trends in data security
18
Machine learning for cloud security
19
Data breach detection strategies
20
Ethical considerations in data security
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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