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]
Jonathan Grier | |
|---|---|
| Nationality | American |
| Known for | Stochastic forensics |
| Scientific career | |
| Fields | Computer Science |
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 edit
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 edit
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.
References edit
- ^ a b c Grier, Jonathan (2011). "Detecting data theft using stochastic forensics". Journal of Digital Investigation. 8(Supplement), S71-S77.
- ^ a b c d Schwartz, Mathew J. (December 13, 2011)."How Digital Forensics Detects Insider Theft". InformationWeek.
- ^ Chickowski, Ericka (June 26, 2012). "New Forensics Method May Nab Insider Thieves". Dark Reading.
- ^ a b c d "Insider Threat Spotlight". (August 2012). SC Magazine
- ^ a b c Grier, Jonathan (May 2012). "Investigating Data Theft with Stochastic Forensics". "Digital Forensics Magazine."
- ^ Black Hat Briefings, USA 2012.Catching Insider Data Theft with Stochastic Forensics Archived 2013-12-14 at the Wayback Machine.
- ^ ACSAC,. ACSAC 2012 Program.
- ^ ACSAC, ACSAC 2011 Program.
- ^ DFRWS, DFRWS 2011 Agenda Archived 2013-03-14 at the Wayback Machine.
- ^ Howard, Michael and David LeBlanc (2001). Writing Secure Code. Microsoft Press
- ^ a b IBM Internet Security Systems (2001). Xforce Database.
- ^ Hewlett-Packard (2010-09-15). HP Security Bulletin. Accessed 2013-02-08.
- ^ FBI National Infrastructure Protection Center (2001). Cybernotes. Issue 2001-8.
- ^ FBI National Infrastructure Protection Center (2001). Cybernotes. Issue 2001-10.
- ^ FBI National Infrastructure Protection Center (2001). Cybernotes. Issue 2001-15.
- ^ Department of Defense Cyber Crime Center, 2012 DC3 Agenda.
- ^ SecurityWatch (July 12, 2001). Get Ready for the CGI updates!
- ^ Association of Orthodox Jewish Scientists, AOJS 2012 Summer Convention Program.