Jonathan Grier
American computer scientist
From Wikipedia, the free encyclopedia
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 | |
|---|---|
| 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
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.