Proposal / Submission Type
Peer Reviewed Paper
Location
St. Paul, Minnesota
Start Date
19-5-2010 10:30 AM
Abstract
The physical interview process in crime investigation produces an extremely large amount of data, particularly in big cases. In comparison, examiners of digital evidence have enormous amounts of data to search through whilst looking for data relating to the investigation. However, the links between their results are limited. Whilst investigators need to refute or support their hypothesis throughout, digital evidence examiners often use search based keywords. These keywords are usually created from evidence taken from the physical investigation reports and this basic method has been found to have many shortcomings and limitations. This paper proposes a highly automatic framework to integrate anything suspicious that victims or witnesses have said in their interview with their digital data. The proposed model applies to both physical crime investigations and digital evidence examinations.
Keywords: Computer Forensics, Digital Evidence Analysis, Crime Investigation.
Scholarly Commons Citation
Alshathry, Fahad, "A Framework to Integrate the Data of Interview Investigation and Digital Evidence" (2010). Annual ADFSL Conference on Digital Forensics, Security and Law. 9.
https://commons.erau.edu/adfsl/2010/wednesday/9
Included in
Computer Engineering Commons, Computer Law Commons, Electrical and Computer Engineering Commons, Forensic Science and Technology Commons, Information Security Commons
A Framework to Integrate the Data of Interview Investigation and Digital Evidence
St. Paul, Minnesota
The physical interview process in crime investigation produces an extremely large amount of data, particularly in big cases. In comparison, examiners of digital evidence have enormous amounts of data to search through whilst looking for data relating to the investigation. However, the links between their results are limited. Whilst investigators need to refute or support their hypothesis throughout, digital evidence examiners often use search based keywords. These keywords are usually created from evidence taken from the physical investigation reports and this basic method has been found to have many shortcomings and limitations. This paper proposes a highly automatic framework to integrate anything suspicious that victims or witnesses have said in their interview with their digital data. The proposed model applies to both physical crime investigations and digital evidence examinations.
Keywords: Computer Forensics, Digital Evidence Analysis, Crime Investigation.
