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
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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 | ||||||
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Identification Number: | https://doi.org/10.1504/IJICS.2017.085139 | ||||||
Dates: |
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Subjects: | CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science CAH11 - computing > CAH11-01 - computing > CAH11-01-03 - information systems |
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Divisions: | Faculty of Computing, Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment |
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Depositing User: | Reza Montasari | ||||||
Date Deposited: | 01 Jun 2018 07:08 | ||||||
Last Modified: | 22 Mar 2023 12:01 | ||||||
URI: | https://www.open-access.bcu.ac.uk/id/eprint/5973 |
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