Cloud Security and Privacy (ICCSAP-27)

This track focuses on the latest developments in cloud security technologies and frameworks. It aims to explore innovative approaches to enhance data protection and mitigate risks associated with cloud computing.

This session will delve into methodologies for ensuring privacy in cloud-based systems. Topics will include encryption strategies, access control mechanisms, and regulatory compliance challenges.

This track will examine the application of predictive modeling techniques in identifying and mitigating security threats in cloud environments. Participants will discuss supervised and unsupervised learning methods for anomaly detection.

This session will highlight the use of deep learning algorithms for detecting anomalies in cloud systems. Emphasis will be placed on feature extraction and model evaluation to enhance detection accuracy.

This track will explore the role of workflow automation in streamlining security management processes in cloud environments. Discussions will include system monitoring and predictive maintenance strategies.

This session will address the unique security and privacy challenges posed by the integration of Industrial IoT with cloud technologies. Participants will share insights on risk assessment and data protection measures.

This track will investigate effective resource allocation techniques to optimize performance and security in cloud infrastructures. The focus will be on analytics and real-time decision-making processes.

This session will discuss the implications of regulatory frameworks on cloud security practices. Experts will share best practices for achieving compliance while maintaining robust security measures.

This track will explore various access control models and their effectiveness in securing cloud resources. Discussions will include identity management and authorization strategies.

This session will examine the intersection of digital twin technology and cloud security. Participants will discuss the implications of digital twins for data integrity and security management.

This track will focus on the role of advanced analytics in improving the security posture of cloud environments. Topics will include threat intelligence, behavioral analytics, and incident response strategies.