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- Anomaly_Detection_at_Multiple_Scales abstract "Anomaly Detection at Multiple Scales, or ADAMS, is 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.The project is intended to detect and prevent insider threats such as "a soldier in good mental health becoming homicidal orsuicidal", an "innocent insider becoming malicious", or a "a government employee [whom] abuses access privileges to share classified information". Specific cases mentioned are Nidal Malik Hasan and Wikileaks alleged source Bradley Manning. Commercial applications may include finance. The intended recipients of the system output are operators in the counterintelligence agencies.The Proactive Discovery of Insider Threats Using Graph Analysis and Learning is part of the ADAMS project. The Georgia Tech team includes noted high-performance computing researcher David A. Bader.".
- Anomaly_Detection_at_Multiple_Scales wikiPageExternalLink Anomaly_Detection_at_Multiple_Scales_(ADAMS).aspx.
- Anomaly_Detection_at_Multiple_Scales wikiPageID "33968433".
- Anomaly_Detection_at_Multiple_Scales wikiPageRevisionID "528260378".
- Anomaly_Detection_at_Multiple_Scales data DARPA.
- Anomaly_Detection_at_Multiple_Scales data "2011".
- Anomaly_Detection_at_Multiple_Scales data "3.5E7".
- Anomaly_Detection_at_Multiple_Scales data "Detect insider threats in defense and government networks".
- Anomaly_Detection_at_Multiple_Scales data Anomaly_Detection_at_Multiple_Scales_(ADAMS).aspx.
- Anomaly_Detection_at_Multiple_Scales hasPhotoCollection Anomaly_Detection_at_Multiple_Scales.
- Anomaly_Detection_at_Multiple_Scales label "Establishment".
- Anomaly_Detection_at_Multiple_Scales label "Goal".
- Anomaly_Detection_at_Multiple_Scales label "Sponsor".
- Anomaly_Detection_at_Multiple_Scales label "Value".
- Anomaly_Detection_at_Multiple_Scales label "Website".
- Anomaly_Detection_at_Multiple_Scales title "Anomaly Detection at Multiple Scales".
- Anomaly_Detection_at_Multiple_Scales subject Category:Computer_security.
- Anomaly_Detection_at_Multiple_Scales subject Category:DARPA.
- Anomaly_Detection_at_Multiple_Scales subject Category:Data_mining.
- Anomaly_Detection_at_Multiple_Scales subject Category:Georgia_Tech_Research_Institute.
- Anomaly_Detection_at_Multiple_Scales type Software.
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- Anomaly_Detection_at_Multiple_Scales comment "Anomaly Detection at Multiple Scales, or ADAMS, is 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.The project is intended to detect and prevent insider threats such as "a soldier in good mental health becoming homicidal orsuicidal", an "innocent insider becoming malicious", or a "a government employee [whom] abuses access privileges to share classified information".".
- Anomaly_Detection_at_Multiple_Scales label "Anomaly Detection at Multiple Scales".
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- Anomaly_Detection_at_Multiple_Scales sameAs Q4769945.
- Anomaly_Detection_at_Multiple_Scales sameAs Q4769945.
- Anomaly_Detection_at_Multiple_Scales wasDerivedFrom Anomaly_Detection_at_Multiple_Scales?oldid=528260378.
- Anomaly_Detection_at_Multiple_Scales isPrimaryTopicOf Anomaly_Detection_at_Multiple_Scales.