A standardised data acquisition process model for digital forensic investigations
Montasari, Reza (2017) A standardised data acquisition process model for digital forensic investigations. International Journal of Information and Computer Security, 9 (3). pp. 229-249. ISSN 1744-1765
Preview |
Text
RezaMontasari-SDAPM.pdf - Published Version Download (433kB) |
Abstract
Similar to traditional evidence, courts of law do not assume that
digital evidence is reliable if there is no evidence of some empirical testing
regarding the theories and techniques pertaining to its production. Courts take a
careful notice of the way in which digital evidence has been acquired and
stored. In contrast with traditional crimes for which there are well-established
standards and procedures upon which courts can rely, there are no formal
procedures or models for digital data acquisition to which courts of law can
refer. A standardised data acquisition process model is needed to enable digital
forensic investigators to follow a uniform approach, and to assist courts of law
in determining the reliability of digital evidence presented to them. This paper
proposes a model that is standardised in that it can enable digital forensic
investigators in following a uniform approach, and that is generic in that it can
be applied in both law enforcement and corporate investigations. To carry out
the research presented in the paper, the design science research process (DSRP)
methodology proposed by Peffers et al. (2006) has been followed.
Item Type: | Article |
---|---|
Identification Number: | 10.1504/IJICS.2017.085139 |
Dates: | Date Event 15 March 2016 Accepted 27 June 2017 Published |
Subjects: | CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science CAH11 - computing > CAH11-01 - computing > CAH11-01-03 - information systems |
Divisions: | Faculty of Computing, Engineering and the Built Environment > College of Computing |
Depositing User: | Reza Montasari |
Date Deposited: | 01 Jun 2018 07:08 |
Last Modified: | 19 Jun 2024 12:43 |
URI: | https://www.open-access.bcu.ac.uk/id/eprint/5973 |
Actions (login required)
![]() |
View Item |