International Conference on Engineering Data Security using Blockchain
(ICEDSB-27)

This track focuses on the latest advancements in blockchain technology and its applications in enhancing data security. Participants will explore novel approaches to secure engineering data through decentralized systems.

This session will delve into predictive modeling methodologies that ensure data integrity in engineering applications. Emphasis will be placed on supervised and unsupervised learning techniques.

This track examines the role of deep learning in identifying and mitigating cybersecurity threats within engineering frameworks. Case studies will highlight successful implementations and outcomes.

Participants will discuss methods for detecting anomalies in data streams from industrial IoT devices. The focus will be on leveraging machine learning algorithms to enhance operational security.

This session will cover advanced techniques in feature extraction aimed at improving data protection strategies. The integration of these techniques with blockchain will be a key discussion point.

This track explores the intersection of workflow automation and data security protocols in engineering environments. Participants will analyze how blockchain can streamline processes while ensuring data safety.