International Conference on Data Privacy and Big Data Systems (ICDPBDS - 27)

This track focuses on the latest innovations in technologies aimed at enhancing data privacy. It will explore encryption methods, secure data sharing techniques, and privacy-preserving algorithms.

This session will delve into frameworks and strategies for effective data governance in the context of big data. Discussions will include compliance with privacy regulations and the role of governance in risk management.

This track examines the intersection of artificial intelligence and data privacy, highlighting AI-driven solutions for privacy compliance. It will cover machine learning techniques that enhance data protection and user privacy.

This session will explore the role of predictive analytics in enhancing data security measures. It will discuss how predictive models can identify vulnerabilities and mitigate risks in big data systems.

This track focuses on the development of intelligent systems that facilitate seamless data integration while ensuring privacy. It will highlight techniques that balance data accessibility with security concerns.

This session will discuss the design and implementation of privacy frameworks tailored for big data environments. It will address challenges and best practices in maintaining data privacy across diverse systems.