Developing a multidisciplinary digital forensic readiness model for evidentiary data handling

• Main Author: Pooe, El Antonio
• Other Authors: Labuschagne, Les
• Format: Others
• Language: en
• Published: 2019
• Subjects: Digital forensics; Forensic readiness; Computer forensics; Planning; Investigation; Risk management; Evidence; Cybercrime; Multidisciplinary approach; Triangulation; Grounded theory; Systematic literature review; Qualitative research; 005.87; Computer crimes; Digital Forensic Science; Computer security
• Online Access: Pooe, El Antonio (2018) Developing a multidisciplinary digital forensic readiness model for evidentiary data handling, University of South Africa, Pretoria, <http://hdl.handle.net/10500/25316>; http://hdl.handle.net/10500/25316

There is a growing global recognition as to the importance of outlawing malicious computer related acts in a timely manner, yet few organisations have the legal and technical resources necessary to address the complexities of adapting criminal statutes to cyberspace. Literature reviewed in this study suggests that a coordinated, public-private partnership to produce a model approach can help reduce potential dangers arising from the inadvertent creation of cybercrime havens. It is against this backdrop that the study seeks to develop a digital forensic readiness model (DFRM) using a coordinated, multidisciplinary approach, involving both the public and private sectors, thus enabling organisations to reduce potential dangers arising from the inadvertent destruction and negating of evidentiary data which, in turn, results in the non-prosecution of digital crimes. The thesis makes use of 10 hypotheses to address the five research objectives, which are aimed at investigating the problem statement. This study constitutes qualitative research and adopts the post-modernist approach. The study begins by investigating each of the 10 hypotheses, utilising a systematic literature review and interviews, followed by a triangulation of findings in order to identify and explore common themes and strengthen grounded theory results. The output from the latter process is used as a theoretical foundation towards the development of a DFRM model which is then validated and verified against actual case law. Findings show that a multidisciplinary approach to digital forensic readiness can aid in preserving the integrity of evidentiary data within an organisation. The study identifies three key domains and their critical components. The research then demonstrates how the interdependencies between the domains and their respective components can enable organisations to identify and manage vulnerabilities which may contribute to the inadvertent destruction and negating of evidentiary data. The Multidisciplinary Digital Forensic Readiness Model (M-DiFoRe) provides a proactive approach to creating and improving organizational digital forensic readiness. This study contributes to the greater body of knowledge in digital forensics in that it reduces complexities associated with achieving digital forensic readiness and streamlines the handling of digital evidence within an organisation. === Information Science === Ph.D. (Information Systems)