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
Subjects: G400 Computer Science
G500 Information Systems
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 Computing and Digital Technology > Cloud Computing
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Cyber Security
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Digital Media Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Enterprise Systems
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
UoA Collections > REF2021 UoA11: Computer Science and Informatics
Depositing User: Reza Montasari
Date Deposited: 01 Jun 2018 07:08
Last Modified: 22 Aug 2018 09:59
URI: http://www.open-access.bcu.ac.uk/id/eprint/5973

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