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Anomaly Detection at Multiple Scales

From Wikipedia, the free encyclopedia

Anomaly Detection at Multiple Scales
Establishment2011
SponsorDARPA
Value$35 million
GoalDetect insider threats in defense and government networks
Websitewww.darpa.mil

Anomaly Detection at Multiple Scales, or ADAMS, was a $35 million DARPA project designed to identify patterns and anomalies in very large data sets. It is under DARPA's Information Innovation office and began in 2011[1][2][3][4] and ended in August 2014[5]

The project was intended to detect and prevent insider threats such as "a soldier in good mental health becoming homicidal or suicidal", an "innocent insider becoming malicious", or "a government employee [who] abuses access privileges to share classified information".[2][6] Specific cases mentioned are Nadal Malik Hasan and WikiLeaks source Chelsea Manning.[7] Commercial applications may include finance.[7] The intended recipients of the system output are operators in the counterintelligence agencies.[2][6]

The Proactive Discovery of Insider Threats Using Graph Analysis and Learning was part of the ADAMS project.[6][8] The Georgia Tech team includes noted high-performance computing researcher David Bader (computer scientist).[9]

YouTube Encyclopedic

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  • Anomaly Detection : Time Series Talk
  • Anomaly Detection Using One Class SVM (optional)
  • Unsupervised real-time anomaly detection and root cause estimation by Aitor Landete and Pablo Mateos

Transcription

See also

References

  1. ^ "ADAMS". DARPA Information Innovation Office. Archived from the original on 2012-01-21. Retrieved 2011-12-05.
  2. ^ a b c "Anomaly Detection at Multiple Scales (ADAMS) Broad Agency Announcement DARPA-BAA-11-04" (PDF). General Services Administration. 2010-10-22. Archived from the original (PDF) on 2012-04-06. Retrieved 2011-12-05.
  3. ^ Ackerman, Spencer (2010-10-11). "Darpa Starts Sleuthing Out Disloyal Troops". Wired. Retrieved 2011-12-06.
  4. ^ Keyes, Charley (2010-10-27). "Military wants to scan communications to find internal threats". CNN. Retrieved 2011-12-06.
  5. ^ "DARPA ADAMS Project".
  6. ^ a b c "Georgia Tech Helps to Develop System That Will Detect Insider Threats from Massive Data Sets". Georgia Institute of Technology. 2011-11-10. Retrieved 2011-12-06.
  7. ^ a b "Video Interview: DARPA's ADAMS Project Taps Big Data to Find the Breaking Bad". Inside HPC. 2011-11-29. Retrieved 2011-12-06.
  8. ^ Brandon, John (2011-12-03). "Could the U.S. Government Start Reading Your Emails?". Fox News. Retrieved 2011-12-06.
  9. ^ "Anomaly Detection at Multiple Scales". Georgia Tech College of Computing. Retrieved 2011-12-06.


This page was last edited on 26 December 2023, at 21:16
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