International Conference on Data Security using Machine Learning - (ICDSML-26)


22nd - 23rd August, 2026 | Porto, Portugal

Multi-format (In-person/Virtual)

Important Dates

Pre-registration Deadline

23rd July, 2026

Paper Submission Deadline

2nd August, 2026

Last Date Of Registration

7th August, 2026

Date Of Conference

22nd - 23rd August, 2026

Downloads

Call for Papers

The (ICDSML-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

  • Machine learning for cybersecurity
  • Data encryption techniques using ML
  • Anomaly detection in network security
  • Threat intelligence using machine learning
  • Privacy-preserving machine learning methods
  • Fraud detection in financial systems
  • Security challenges in ML applications
  • Data integrity in machine learning
  • Machine learning for malware detection
  • Risk assessment using predictive analytics
  • Secure data sharing in ML systems
  • Adversarial machine learning techniques
  • Incident response using machine learning
  • Vulnerability assessment in software systems
  • Machine learning for identity verification
  • Security protocols for ML models
  • Future trends in data security
  • Machine learning for cloud security
  • Data breach detection strategies
  • Ethical considerations in data security

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Empowering Research Continuity

At Research Leagues, academic engagement continues without interruption despite the current global situation. Researchers can present and publish through online and integrated participation pathways.