Date of Award
Spring 2015
Degree Type
Thesis
Degree Name
Master of Arts (MA)
Department
Computer Science
First Advisor
Eugene C. Jackson
Second Advisor
Marcus K Rogers
Third Advisor
Baijian Yang
Committee Chair
Eugene C. Jackson
Committee Co-Chair
Marcus K Rogers
Committee Member 1
Baijian Yang
Abstract
In this paper I will review the literature concerning investigator digital forensics models and how they apply to field investigators. A brief history of community supervision and how offenders are supervised will be established. I will also cover the difference between community supervision standards and police standards concerning searches, evidence, standards of proof, and the difference between parole boards and courts. Currently, the burden for digital forensics for community supervision officers is placed on local or state law enforcement offices, with personnel trained in forensics, but may not place a high priority on outside cases. Forensic field training for community supervision officers could ease the caseloads of outside forensic specialists, and increase fiscal responsible by increasing efficiency and public safety in the field of community supervision.
Recommended Citation
Flory, Christopher Michael, "Digital forensics and community supervision: Making a case for field based digital forensics training" (2015). Open Access Theses. 567.
https://docs.lib.purdue.edu/open_access_theses/567
Included in
Computer Sciences Commons, Criminology and Criminal Justice Commons, Vocational Education Commons