Call For Papers
The ICDSML 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:
- 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
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.