Knowledge Aided Retrieval in Activity Context
Knowledge Aided Retrieval in Activity Context (KARNAC) is a system being developed in the United States for use in profiling different categories of terrorist attacks to determine the components of possible future terrorist incidents.[1][2][3][4][5]
Information for KARNAC is generally to be derived from structured, semi-structured and unstructured databases. This would include information derived from gun registrations, driver's licenses, residential and criminal records, as well as the Internet, newspapers and county records. For example, the system might raise an alert if someone attempted to buy components for bomb making, hired a car and rented a hotel room near the White House.
References
[edit]- ^ Kupchinsky, Roman (April 8, 2008). "World: Predicting Terrorist Attacks". Radio Free Europe/Radio Liberty. Retrieved January 28, 2024.
- ^ Graham-Rowe, Duncan (October 2, 2001). "Intelligence analysis software could predict attacks". New Scientist. Retrieved January 28, 2024.
- ^ "Big brother gaining too much support". The Minnesota Daily. October 15, 2001. Retrieved January 28, 2024.
- ^ "The Surveillance Society". Wired. Vol. 9, no. 12. March 11, 2007 [December 2001]. p. 3. Archived from the original on March 11, 2007. Retrieved May 11, 2005.
- ^ Singer, P. W. (2009). Wired for War: The Robotics Revolution and Conflict in the 21st Century. New York: Penguin Press. ISBN 978-1-59420-198-1.
.svg){kind=small} | This United States government–related article is a stub. You can help Wikipedia by expanding it. |
 | This terrorism-related article is a stub. You can help Wikipedia by expanding it. |