- 703-993-5599 (office)
Nguyen Engineering Building, 3241
4400 University Drive
Fairfax, VA 22030
James "Jim" Jones has been a cyber security and digital forensics practitioner, researcher, and educator for over 20 years in industry, government, and academia. That experience drives his teaching, which blends theory and practical applications, and his research, which focuses on the extraction, analysis, and manipulation of partial digital artifacts. These digital fragments are the remnants of past actions and processes. Jim and his students spend their days (and nights) collecting and analyzing these fragments, much like a traditional archaeologist works with fragments of pottery or stone tools. This analysis enables us to look backwards in time to understand cyber attacks, find malware infections, detect system and device misuse, and recover lost data.
Jim's research funding comes from industry and the US Government. Past and current funded research sponsors include the Defense Advanced Research Projects Agency (DARPA), the U.S. Department of Homeland Security (DHS), the National Science Foundation (NSF), and the United States Department of Defense (DoD). His research interests are focused on digital artifact extraction, analysis, and manipulation, and on offensive cyber deception in adversarial environments. He has degrees in Systems Engineering (BS), Mathematical Sciences (MS), and Computational Sciences and Informatics (PhD). This formal education is complemented with work experience and extensive self-learning, driven by an insatiable curiosity and a need to know how things work, how they break, and what we can learn from both.
PhD, Computational Sciences and Informatics, George Mason University (2008)
MS, Mathematical Sciences, Clemson University (1995)
BA, Industrial and Management Systems Engineering, Georgia Tech (1989)
Faculty Rank: Associate Professor
2013 - 2015 : Reasoning for Digital Artifact Association, Attribution, and Integrity. Funded by Naval Postgraduate School.
Computer and Network Security, Digital Forensics