Flex Conference (Physical / Digital)

International Conference on Fraud Detection and Risk Analytics in E-Commerce - (ICFDRAEC-27)

31st - 1st April 2027 , Washington Dc - USA

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Call For Papers

The (ICFDRAEC-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Data Analytics, E Commerce, Marketing are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Fraud detection techniques in e-commerce
  • Risk management strategies for online businesses
  • Impact of technology on fraud prevention
  • Data analytics for identifying fraudulent activities
  • Case studies of successful fraud detection
  • Challenges in e-commerce fraud detection
  • Consumer trust and fraud prevention
  • Role of machine learning in fraud detection
  • Impact of regulations on fraud management
  • Future trends in e-commerce fraud prevention
  • Ethics in fraud detection practices
  • Collaboration between businesses and law enforcement
  • Impact of payment methods on fraud risk
  • Best practices for risk assessment
  • Data privacy concerns in fraud detection
  • Impact of social engineering on fraud
  • Fraud detection tools and technologies
  • Consumer education on fraud prevention
  • Impact of economic downturns on fraud risk
  • Building resilient e-commerce systems

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.