Predicting Fraud in Electronic Commerce: Fraud Detection Techniques in E-Commerce

Credit Card Fraud: Bang in E-Commerce

Recent decades have seen a gigantic expansion in the use of credit cards as a true transactional medium. Data mining is rising as one of the chief features of many homeland security\ initiatives. Often, it is used as a means for detecting fraud, assessing risk, as well as product retailing. Data mining is becoming increasingly common in both the private as well as public sectors. Data mining in...

Electronic Commerce: Who Carries the Risk of Fraud?

Data Mining Prototype for Detecting E-Commerce Fraud

The advent of electronic commerce (e-commerce) has marked a significant change in the way business now approach the implementation of their sales and marketing strategies. Electronic commerce growth has been accompanied by an increase in fraudulent practices. Researchers have proposed rules-based auditing systems for electronic commerce transactions, but they highly depend on the auditor’s know...

Trust fraud: A crucial challenge for China's e-commerce market

Currently, China’s e-commerce market is growing at an unprecedented pace, however, it is faced with many challenges, among which the trust fraud problem is the biggest issue. In this article, we use Taobao as an example and conduct a thorough investigation of the trust fraud phenomenon in China’s e-commerce market. We present the development history of trust fraud, summarize its unique characte...

Session-Based Fraud Detection in Online E-Commerce Transactions Using Recurrent Neural Networks

Transaction frauds impose serious threats onto e-commerce. We present CLUE, a novel deep-learning-based transaction fraud detection system we design and deploy at JD.com, one of the largest ecommerce platforms in China with over 220 million active users. CLUE captures detailed information on users’ click actions using neural-network based embedding, and models sequences of such clicks using the...