Scalable Multi Dimensional Threat Analysis
PublicDownloadable Content
open in viewerACI Worldwide provides fraud detection services on high volume transaction data streams. In this project, WPI collaborates with ACI Worldwide to explore how this data can be stored in a graph database and then visualized using open-source big data technologies. Using Titan, transaction data is stored as a graph. The graph is then visualized in several fraud- centric display formats with the Vis JavaScript library to provide fraud analysts a unique way of analyzing transactions. Achievements of this project include being able to ingest millions of nodes into a graph database and then displaying portions of the graph using innovative visual displays. Optimizations were made by distributing the system over a six node cluster for faster ingestion and graph query support.
- 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
- Publisher
- Identifier
- E-project-032216-181011
- Advisor
- Year
- 2016
- Sponsor
- Date created
- 2016-03-22
- Resource type
- Major
- Rights statement
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