Call For Papers
The ICBDSML 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 Big Data,Machine Learning,Information Technology, 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:
- Big data security challenges and solutions
- Machine learning for cybersecurity applications
- Data privacy in big data environments
- Threat detection using machine learning
- Big data encryption techniques
- Anomaly detection in big data systems
- Machine learning for data breach prevention
- Big data compliance and regulations
- Security frameworks for big data applications
- Machine learning for fraud detection
- Data governance in security contexts
- Big data risk management strategies
- Incident response using machine learning
- Big data security analytics tools
- Machine learning for identity verification
- Big data in threat intelligence
- Cybersecurity frameworks for big data
- Machine learning for vulnerability assessment
- Big data security in cloud environments
- Future trends in big 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.