Abstract
Computers are increasingly used as tools to commit crimes such as unauthorized access (hacking), drug trafficking, and child pornography. The proliferation of crimes involving computers has created a demand for special forensic tools that allow investigators to look for evidence on a suspect’s computer by analyzing communications and data on the computer’s storage devices. Motivated by the forensic process at Sûreté du Québec ( SQ ), the Québec provincial police, we propose a new subject-based semantic document clustering model that allows an investigator to cluster documents stored on a suspect’s computer by grouping them into a set of overlapping clusters, each corresponding to a subject of interest initially defined by the investigator.
Original language | American English |
---|---|
Qualification | Doctor of Philosophy |
Awarding Institution |
|
Supervisors/Advisors |
|
State | Published - Sep 2011 |
Externally published | Yes |
EGS Disciplines
- Information Security
- Other Computer Sciences