International Conference on Big Data Security and Machine Learning ICBDSML

Call For Papers

The ICBDSML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Big Data, Machine Learning, Information Technology , encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event