This track focuses on the latest advancements in blockchain forensics, exploring methodologies for tracing transactions and identifying illicit activities. Researchers are invited to present novel approaches that enhance the transparency and accountability of blockchain systems.

This session will delve into effective cybersecurity strategies tailored for big data environments, emphasizing the unique challenges posed by large-scale data processing. Contributions should highlight innovative techniques for safeguarding data integrity and confidentiality.

This track invites papers that investigate advanced anomaly detection techniques within cybersecurity frameworks. Emphasis will be placed on machine learning and artificial intelligence applications that enhance threat identification and response.

This session will explore various blockchain frameworks designed to bolster the security of digital systems. Participants are encouraged to present case studies and theoretical models that demonstrate the efficacy of these frameworks in real-world applications.

This track addresses the critical components of incident response and threat detection in the context of blockchain and big data. Papers should focus on innovative methodologies that improve the speed and accuracy of incident response efforts.

This session will examine the governance frameworks and compliance standards necessary for effective blockchain implementation. Researchers are invited to discuss the implications of regulatory requirements on blockchain technology and its applications.