PRODIGAL
This article needs to be updated. (October 2021) |
| Establishment | 2011 |
|---|---|
| Sponsor | DARPA |
| Value | $9 million |
| Goal | Rapidly data mine large sets to discover anomalies |
PRODIGAL (proactive discovery of insider threats using graph analysis and learning) is a computer system for predicting anomalous behavior among humans, by data mining network traffic such as emails, text messages and server log entries.[1] It is part of DARPA's Anomaly Detection at Multiple Scales (ADAMS) project.[2] The initial schedule is for two years and the budget $9 million.[3]
It uses graph theory, machine learning, statistical anomaly detection, and high-performance computing to scan larger sets of data more quickly than in past systems. The amount of data analyzed is in the range of terabytes per day.[3] The targets of the analysis are employees within the government or defense contracting organizations; specific examples of behavior the system is intended to detect include the actions of Nidal Malik Hasan and WikiLeaks source Chelsea Manning.[1] Commercial applications may include finance.[1] The results of the analysis, the five most serious threats per day, go to agents, analysts, and operators working in counterintelligence.[1][3][4]
Primary participants
[edit | edit source]- Georgia Institute of Technology College of Computing
- Georgia Tech Research Institute
- Defense Advanced Research Projects Agency
- Army Research Office
- Science Applications International Corporation
- Oregon State University
- University of Massachusetts Amherst
- Carnegie Mellon University
See also
[edit | edit source]- Cyber Insider Threat
- Einstein (US-CERT program)
- Threat (computer)
- Intrusion detection
- ECHELON, Thinthread, Trailblazer, Turbulence (NSA programs)
- Fusion center, Investigative Data Warehouse (FBI)
References
[edit | edit source]- ^ a b c d Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- ^ a b c Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
