| 词条 | Anomaly Detection at Multiple Scales |
| 释义 |
|name = |title = Anomaly Detection at Multiple Scales |label2 = Establishment |data2 = 2011 |label3 = Sponsor |data3 = DARPA |label4 = Value |data4 = $35 million |label5 = Goal |data5 = Detect insider threats in defense and government networks |label7 = Website |data7 = www.darpa.mil }}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.[1][2][3][4] 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 government employee [who] abuses access privileges to share classified information".[2][5] Specific cases mentioned are Nidal Malik Hasan and WikiLeaks source Chelsea Manning.[6] Commercial applications may include finance.[6] The intended recipients of the system output are operators in the counterintelligence agencies.[2][5] The Proactive Discovery of Insider Threats Using Graph Analysis and Learning is part of the ADAMS project.[5][7] The Georgia Tech team includes noted high-performance computing researcher David A. Bader.[8] See also
References1. ^{{cite web|url=http://www.darpa.mil/Our_Work/I2O/Programs/Anomaly_Detection_at_Multiple_Scales_(ADAMS).aspx|title=ADAMS|publisher=DARPA Information Innovation Office|accessdate=2011-12-05}} {{military-stub}}{{software-stub}}2. ^1 2 {{cite news|url=https://www.fbo.gov/download/2f6/2f6289e99a0c04942bbd89ccf242fb4c/DARPA-BAA-11-04_ADAMS.pdf|title=Anomaly Detection at Multiple Scales (ADAMS) Broad Agency Announcement DARPA-BAA-11-04|publisher=General Services Administration|date=2010-10-22|accessdate=2011-12-05}} 3. ^{{cite news|url=https://www.wired.com/dangerroom/2010/10/darpa-starts-sleuthing-out-disloyal-troops/|title=Darpa Starts Sleuthing Out Disloyal Troops|first=Spencer|last=Ackerman|work=Wired|date=2010-10-11|accessdate=2011-12-06}} 4. ^{{cite news|url=http://articles.cnn.com/2010-10-27/us/pentagon.e.mail.profiling_1_nidal-hasan-darpa-fort-hood|title=Military wants to scan communications to find internal threats|first=Charley|last=Keyes|work=CNN|date=2010-10-27|accessdate=2011-12-06}} 5. ^1 2 {{cite news|url=http://www.gatech.edu/newsroom/release.html?nid=72599|title=Georgia Tech Helps to Develop System That Will Detect Insider Threats from Massive Data Sets|publisher=Georgia Institute of Technology|date=2011-11-10|accessdate=2011-12-06}} 6. ^1 {{cite news|url=http://insidehpc.com/2011/11/29/video-interview-darpas-adams-project-taps-big-data-to-find-the-breaking-bad/|title=Video Interview: DARPA's ADAMS Project Taps Big Data to Find the Breaking Bad|publisher=Inside HPC|date=2011-11-29|accessdate=2011-12-06}} 7. ^{{cite news|url=http://www.foxnews.com/scitech/2011/12/03/could-us-government-start-reading-your-emails/|title=Could the U.S. Government Start Reading Your Emails?|first=John|last=Brandon|publisher=Fox News|date=2011-12-03|accessdate=2011-12-06}} 8. ^{{cite web|url=http://www.cse.gatech.edu/taxonomy/term/153/all|title=Anomaly Detection at Multiple Scales|publisher=Georgia Tech College of Computing|accessdate=2011-12-06}} 4 : Applied data mining|Computer security|Georgia Tech Research Institute|DARPA |
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