Inference attack

An Inference Attack is a data mining technique performed by analyzing data in order to illegitimately gain knowledge about a subject or database.[1] A subject's sensitive information can be considered as leaked if an adversary can infer its real value with a high confidence.[2] This is an example of breached information security. An Inference attack occurs when a user is able to infer from trivial information more robust information about a database without directly accessing it.[3] The object of Inference attacks is to piece together information at one security level to determine a fact that should be protected at a higher security level.[4]

References
  1. "Inference Attacks on Location Tracks" by John Krumm
  2. http://www.ics.uci.edu/~chenli/pub/2007-dasfaa.pdf "Protecting Individual Information Against Inference Attacks in Data Publishing" by Chen Li, Houtan Shirani-Mehr, and Xiaochun Yang
  3. "Detecting Inference Attacks Using Association Rules" by Sangeetha Raman, 2001
  4. "Database Security Issues: Inference" by Mike Chapple
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