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stochastic forensics
Stochastic forensics is a method to forensically reconstruct digital activity lacking artifacts, by analyzing emergent properties resulting from the stochastic nature of modern computers.〔Grier, Jonathan (2011). ("Detecting data theft using stochastic forensics" ). ''Journal of Digital Investigation''. 8(Supplement), S71-S77.〕〔Schwartz, Mathew J. (December 13, 2011).("How Digital Forensics Detects Insider Theft" ). ''Information Week''.〕〔Chickowski, Ericka (June 26, 2012). ("New Forensics Method May Nab Insider Thieves" ). (Dark Reading ).〕 Unlike traditional computer forensics, which relies on digital artifacts, stochastic forensics does not require artifacts and can therefore recreate activity which would otherwise be invisible.〔 Its chief application is the investigation of insider data theft.〔〔〔("Insider Threat Spotlight" ). (August 2012). ''SC Magazine''〕〔
==History==
Stochastic forensics was invented in 2010 by computer scientist Jonathan Grier to detect and investigate insider data theft.〔 Insider data theft has been notoriously difficult to investigate using traditional methods, since it does not create any artifacts (such as changes to the file attributes or Windows Registry).〔〔Carvey, Harlan. "Windows forensic analysis DVD Toolkit". 2nd ed. Syngress Publishing; 2009.〕 Consequently, industry demanded a new investigative technique.〔
Since its invention, stochastic forensics has been used in real world investigation of insider data theft,〔Grier, Jonathan (May 2012). ("Investigating Data Theft with Stochastic Forensics" ). "Digital Forensics Magazine."〕 been the subject of academic research,〔〔Nishide, T., Miyazaki, S., & Sakurai, K. (2012). "Security Analysis of Offline E-cash Systems with Malicious Insider". Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 3(1/2), 55-71.〕 and met with industry demand for tools and training.〔〔〔''Black Hat Briefings'', USA 2012.(Catching Insider Data Theft with Stochastic Forensics ).〕
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