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ADVISE

From Wikipedia, the free encyclopedia

ADVISE (Analysis, Dissemination, Visualization, Insight, and Semantic Enhancement) is a research and development program within the United States Department of Homeland Security (DHS) Threat and Vulnerability Testing and Assessment (TVTA) portfolio.[1][2] It is reportedly developing a massive data mining system, which would collect and analyze data on everyone in the United States and perform a "threat analysis" on them.[3] The data can be anything from financial records, phone records, emails, blog entries, website searches, to any other electronic information that can be put into a computer system.[4] This information is then analyzed, and used to monitor social threats such as community-forming, terrorism, political organizing, or crime.

ADVISE will possess the ability to store one quadrillion data entities.[5]

The exact scope and degree of completion of the program is unclear. ADVISE is in the 2004-2006 Federal DHS Budget as a component of the $47 million TVTA program.[citation needed]

The program was officially scrapped in September 2007 after the agency's internal Inspector General found that pilot testing of the system had been performed using data on real people without required privacy safeguards in place.[6]

See also

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References

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  1. ^ Pang, Les (2009). Data Mining Lessons Learned in the Federal Government. Encyclopedia of Data Warehousing and Mining. pp. 492–496.
  2. ^ Jifa, Gu; Zhang, Lingling. "Data, DIKW, Big data and Data science". Procedia Computer Science.
  3. ^ "Homeland Security revives supersnoop". Washington Times. 8 March 2007. Retrieved 10 January 2010.
  4. ^ Clayton, Mark (February 9, 2006). "US plans massive data sweep". Christian Science Monitor. Archived from the original on 5 January 2010. Retrieved 10 January 2010.
  5. ^ UK, ZDNet. "DHS program tries to connect far-flung information, but at what privacy cost?". ZDNet. Retrieved 2020-08-10.
  6. ^ "US suspends vast ADVISE data-sifting system". Christian Science Monitor. 2007-08-28. ISSN 0882-7729. Retrieved 2020-08-10.
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