Anomaly Detection at Multiple Scales

Anomaly Detection at Multiple Scales

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. 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 or suicidal," an "innocent insider becoming malicious," or a "a government employee 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 more

Product details

  • Paperback | 136 pages
  • 152 x 229 x 8mm | 209g
  • Tempor
  • United States
  • English
  • black & white illustrations
  • 6136285452
  • 9786136285450