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IMPLEMENTATION OF DIGITAL FORENSIC TOOLS IN WHITE-COLLAR CYBERCRIMES. : A QUALITATIVE STUDY ABOUT IMPLEMENTATION OF DIGITAL FORENSIC TOOLS IN INVESTIGATION OF WHITE-COLLAR CYBERCRIMES.

Minimal research has been conducted regarding the connection between white collar crime, cybercrime and the effectiveness of digital forensic tools that can assist in combating this new type of crime. The aim of this study is to understand and examine the role that digital forensic tools play during the investigation of white-collar cybercrimes and to evaluate how effective these tools are when implemented in white-collar cybercrime investigations. By conducting in-depth interviews and using a Rational choice theory driven thematic analysis, the findings of this research have revealed how important adaptability of digital forensic tools is to the emerging cybercrime techniques, together with their integration of existing systems, and the adherence to legal and ethical standards. The findings also noted the challenges that are faced by digital investigators when implementing these digital forensic tools in white-collar crimes investigations and the importance of using updated digital forensic tools and skill developed cybersecurity experts to enhance the outcome of investigations. This study concludes by discussing that it is important for digital forensic tools to be continuously updated and skillfully utilized in the investigation of white-collar cybercrimes and that the significant challenges must be addressed for accurate and more reliable investigative outcomes. Various evaluation methodologies should also be developed as different variations of methodological approaches can improve the standards of research and thus provide frameworks that are more reliable for digital forensic studies and white-collar cybercrime investigations.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mau-67328
Date January 2024
CreatorsNDOPE, AISHA
PublisherMalmö universitet, Institutionen för kriminologi (KR)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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