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International Conference on Fraud Detection and Risk Analytics in E-Commerce · Registering as Listener

ICFDRAEC
📅 31 Mar – 1 Apr 2027 📍 Vienna, Austria 👥 Standard / Physical Participation
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$185
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Registration summary

ConferenceInternational Conference on Fraud Detection and Risk Analytics in E-Commerce
ModeStandard / Physical
ParticipationListener
Registration fee$185.00
Bank charges (5.8%)$10.73
Total payable $195.73

Includes all bank processing charges — the amount above is exactly what will be charged.

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Benefits of Registering as Listener

👥Access to Conference Sessions
🔗Networking Opportunities
🎖Certificate of Participation
Invitation Letter Support
📚Conference Kit / Materials
🎤Access to Keynote Sessions
• Conference Session Tracks •
SDG

SDG-Aligned Research Themes

Conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 8 SDG 9 SDG 12 SDG 16

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.

This track focuses on the design and implementation of real-time fraud detection systems that respond to threats as they occur. Case studies will highlight successful deployments and the challenges faced in real-time environments.

This session will cover innovative identity verification methods that enhance security in online transactions. Discussions will include the balance between user experience and stringent verification processes.

This track examines the latest innovations in payment security and the challenges faced by e-commerce businesses. Participants will discuss emerging technologies and their implications for secure online transactions.

This session will explore various mechanisms that can be employed to build and maintain trust between consumers and e-commerce platforms. Research will focus on the role of transparency, security, and customer service in fostering trust.

This track will highlight the tools and best practices for conducting fraud analytics in e-commerce. Participants will share experiences and insights on leveraging analytics to combat fraud effectively.

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