Jonathan Grier Explained

Jonathan Grier
Field:	Computer Science
Nationality:	American
Known For:	Stochastic forensics

Jonathan Grier is a computer scientist, consultant, and entrepreneur. He is best known for his work on stochastic forensics and insider data theft.^{[1] [2] [3] [4]} He has also contributed to computer security, digital forensics, and software development.^{[1] [4] [5]}

Grier is a frequent speaker at computer conferences such as Black Hat, ACSAC, and DFRWS.^{[6] [7] [8] [9]} His research has appeared in the Journal of Digital Investigation, SecurityFocus, Digital Forensics Magazine and InformationWeek.^{[1] [2] [5]} His work has been cited by Microsoft Press, IBM Internet Security Systems, Hewlett-Packard, SC Magazine and the FBI National Infrastructure Protection Center.^{[4] [10] [11] [12] [13] [14] [15]}

Grier is an advisor to private clients in computer security, software development and information technology,^[4] and conducts training in computer security and forensics for private clients and the Department of Defense Cyber Crime Center.^[16]

Research

In 2010, Grier introduced stochastic forensics as an alternative to traditional digital forensics which typically relies on digital artifacts.^[2] Stochastic forensics' chief application is investigation of data theft, especially by insiders.^[2] Grier was inspired by the statistical mechanics method used in physics.^[5]

In 2001, Grier exposed several security flaws in a number of techniques then popular in Common Gateway Interface web applications.^[11] This was a contributing factor in the move from flat file databases to modern database management systems.^[17]

Other

Grier is a member of the Association of Orthodox Jewish Scientists, where he lectures on the intersection of Halakha with computer science and physics.^[18]

In 1994, Yeshiva University named Grier a Yeshiva University Distinguished Scholar.

Notes and References

1. Grier, Jonathan (2011). "Detecting data theft using stochastic forensics". Journal of Digital Investigation. 8(Supplement), S71-S77.
2. Schwartz, Mathew J. (December 13, 2011)."How Digital Forensics Detects Insider Theft". InformationWeek.
3. Chickowski, Ericka (June 26, 2012). "New Forensics Method May Nab Insider Thieves". Dark Reading.
4. http://www.scmagazine.com/spotlight-page/section/2384/ "Insider Threat Spotlight"
5. Grier, Jonathan (May 2012). "Investigating Data Theft with Stochastic Forensics". "Digital Forensics Magazine."
6. Black Hat Briefings, USA 2012.Catching Insider Data Theft with Stochastic Forensics .
7. [ACSAC]
8. [ACSAC]
9. [DFRWS]
10. Howard, Michael and David LeBlanc (2001). Writing Secure Code. Microsoft Press
11. [IBM Internet Security Systems]
12. [Hewlett-Packard]
13. [FBI]
14. [FBI]
15. [FBI]
16. [Department of Defense Cyber Crime Center]
17. SecurityWatch (July 12, 2001). Get Ready for the CGI updates!
18. [Association of Orthodox Jewish Scientists]