ACI Worldwide is responsible for processing trillions of credit card transactions every day and their featured product for Risk Management Services (RMS). The RMS uses data from the transaction and the user’s profiles to determine if a transaction is fraudulent. To determine this, the RMS requires a database that is very large and continues to grow. However, due to the increasing amount of transaction data and limitations of the SQL language, ACI would want to explore the ability to use Complex Event Processing (CEP) technologies for their next generation product. This project aims to create a model to represent fraud detection queries and an automated process for translating the existing SQL statements of RMS into Esper and Java to utilize the advantages of CEP technology.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Tran, Nguyen
• Roberts, Devin Thomas
• Wang, Zibo
• Gettel, George Tucker

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-043014-145544

Advisor

• Rundensteiner, Elke A.

Year

• 2014

Sponsor

• ACI Worldwide

Date created

• 2014-04-30

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright