This track focuses on the latest advancements in technologies and methodologies for detecting fraud in e-commerce. Participants will explore cutting-edge tools and frameworks that enhance the accuracy and efficiency of fraud detection systems.

This session will delve into the application of risk analytics in evaluating and mitigating risks associated with online transactions. Researchers will present models and case studies that highlight effective risk assessment strategies.

This track examines the critical role of cybersecurity in safeguarding e-commerce platforms from fraud and data breaches. Discussions will include best practices and innovative approaches to enhance security protocols.

Focusing on anomaly detection, this session will cover various techniques used to identify unusual patterns in e-commerce transactions. Presenters will share insights on improving detection rates and minimizing false positives.

This track addresses the intersection of data privacy regulations and consumer trust in the e-commerce landscape. Participants will discuss the implications of privacy policies on fraud prevention and customer relationships.

This session will explore the development and implementation of predictive models aimed at assessing fraud risk in e-commerce. Researchers will share findings on the effectiveness of various modeling techniques.