Call For Paper

Call for Paper

The ICDSML invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Machine Learning the conference aims to bridge theoretical advancements with real-world applications. It encourages forward-thinking research that addresses contemporary challenges while contributing to long-term scientific and technological progress.

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 & Publication

The conference welcomes theoretical, empirical, and applied research contributions. All submissions will undergo a rigorous peer-review process by subject matter experts to ensure originality, technical quality, and relevance. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings, providing global visibility to the authors.

Registration

Authors of accepted papers are required to complete the registration process to confirm their participation in the conference. Early registration is recommended to secure presentation slots and access all conference sessions.

Publication

Accepted papers will be considered for publication in reputed journals and conference proceedings, subject to review outcomes and editorial policies.