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A model for digital evidence admissibility assessment
Thesis (PhD)--University of Pretoria, 2018.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2019
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| _version_ | 1867613518284455937 |
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| access_status_str | Open Access |
| author2 | Venter, Hein S. |
| author_browse | Venter, Hein S. |
| author_facet | Venter, Hein S. |
| collection | Thesis |
| dc_rights_str_mv | © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Thesis (PhD)--University of Pretoria, 2018. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/70619 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:37:25.198Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/70619 A model for digital evidence admissibility assessment Venter, Hein S. albert@e-crimebureau.com Antwi-Boasiako, Albert UCTD Digital Evidence Evidence Admissibility Digital Forensics Forensic Investigation Admissibility Assessment Digital Evidence Model Engineering, built environment and information technology theses SDG-09 Engineering, built environment and information technology theses SDG-16 Thesis (PhD)--University of Pretoria, 2018. Riding on the tide of the current development in computing and internet technologies, criminals have transitioned to the use of computer systems and digital channels to commit crimes. This transformation of crime requires criminal justice actors to investigate, produce and present digital evidence through a process that is scientifically proven and legally admissible, but also capable of securing successful prosecutions. Even though previous efforts by criminal justice practitioners and researchers have contributed to the standardisation of digital forensics in a manner that has consolidated the scientificity1 of digital forensics as a forensic science, these approaches, processes and techniques have not addressed adequately the issue of admissibility of digital evidence in judicial proceedings. In other words, existing models and standards are generally investigative-focused, which has significantly ensured that digital forensics processes follow a specific scientific order. Despite these advances, the existing techno-legal dilemma pertaining to the admissibility of digital evidence in judicial proceedings remains unresolved. In order to address this techno-legal dilemma, the thesis presents a Harmonised Model for Digital Evidence Admissibility Assessment (HM-DEAA), a model that integrates both technical and legal determinants to establish digital evidence admissibility in judicial proceedings. In order to operationalise the HM-DEAA, this research introduces an algorithm to assess digital evidence admissibility and to determine the evidential weight of a piece of digital evidence, which is tendered in a court of law. This algorithm has been tested on both hypothetical and real cases as part of the HM-DEAA’s evaluation for its potential use in legal proceedings. In addition, an expert system has been introduced to automate the operationalization of the HM-DEAA. In practice, the HM-DEAA framework is expected to provide a harmonised techno-legal foundation for assessing digital evidence admissibility in the criminal justice sector. The model is expected to be used primarily by judges as a judicial tool in legal proceedings. The expert system is also expected to serve as an assessment tool for investigators, prosecutors and defence lawyers to evaluate digital evidence with regard to its potential use in court. bs2026 Computer Science PhD Unrestricted SDG-09: Industry, innovation and infrastructure SDG-16: Peace, justice and strong institutions 2019-07-08T09:47:03Z 2019-07-08T09:47:03Z 2019/04/09 2018 Thesis Antwi-Boasiako, A 2018, A model for digital evidence admissibility assessment, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/70619> A2019 http://hdl.handle.net/2263/70619 en © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Digital Evidence Evidence Admissibility Digital Forensics Forensic Investigation Admissibility Assessment Digital Evidence Model Engineering, built environment and information technology theses SDG-09 Engineering, built environment and information technology theses SDG-16 A model for digital evidence admissibility assessment |
| title | A model for digital evidence admissibility assessment |
| title_full | A model for digital evidence admissibility assessment |
| title_fullStr | A model for digital evidence admissibility assessment |
| title_full_unstemmed | A model for digital evidence admissibility assessment |
| title_short | A model for digital evidence admissibility assessment |
| title_sort | model for digital evidence admissibility assessment |
| topic | UCTD Digital Evidence Evidence Admissibility Digital Forensics Forensic Investigation Admissibility Assessment Digital Evidence Model Engineering, built environment and information technology theses SDG-09 Engineering, built environment and information technology theses SDG-16 |
| url | http://hdl.handle.net/2263/70619 |