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Data visualisation in digital forensics
Dissertation (MSc (Computer Science))--University of Pretoria, 2007.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613698456027136 |
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| access_status_str | Open Access |
| author2 | Eloff, Jan H.P. |
| author_browse | Eloff, Jan H.P. |
| author_facet | Eloff, Jan H.P. |
| collection | Thesis |
| dc_rights_str_mv | © 2007, 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 | Dissertation (MSc (Computer Science))--University of Pretoria, 2007. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/22996 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:40:17.184Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| 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:2263/22996 Data visualisation in digital forensics Eloff, Jan H.P. Venter, Hein S. Olivier, Martin S. benniefei@yahoo.com Fei, B.K.L. (Bennie Kar Leung) Visualisation Analysis Digital forensics Digital investigation Self-organising map UCTD Dissertation (MSc (Computer Science))--University of Pretoria, 2007. As digital crimes have risen, so has the need for digital forensics. Numerous state-of-the-art tools have been developed to assist digital investigators conduct proper investigations into digital crimes. However, digital investigations are becoming increasingly complex and time consuming due to the amount of data involved, and digital investigators can find themselves unable to conduct them in an appropriately efficient and effective manner. This situation has prompted the need for new tools capable of handling such large, complex investigations. Data mining is one such potential tool. It is still relatively unexplored from a digital forensics perspective, but the purpose of data mining is to discover new knowledge from data where the dimensionality, complexity or volume of data is prohibitively large for manual analysis. This study assesses the self-organising map (SOM), a neural network model and data mining technique that could potentially offer tremendous benefits to digital forensics. The focus of this study is to demonstrate how the SOM can help digital investigators to make better decisions and conduct the forensic analysis process more efficiently and effectively during a digital investigation. The SOM’s visualisation capabilities can not only be used to reveal interesting patterns, but can also serve as a platform for further, interactive analysis. Computer Science unrestricted 2013-09-06T14:18:44Z 2007-07-09 2013-09-06T14:18:44Z 2007-02-01 2007-07-09 2007-03-07 Dissertation Fei, B 2007, Data visualisation in digital forensics, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/22996 > http://hdl.handle.net/2263/22996 http://upetd.up.ac.za/thesis/available/etd-03072007-153241/ © 2007, 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 | Visualisation Analysis Digital forensics Digital investigation Self-organising map UCTD Data visualisation in digital forensics |
| title | Data visualisation in digital forensics |
| title_full | Data visualisation in digital forensics |
| title_fullStr | Data visualisation in digital forensics |
| title_full_unstemmed | Data visualisation in digital forensics |
| title_short | Data visualisation in digital forensics |
| title_sort | data visualisation in digital forensics |
| topic | Visualisation Analysis Digital forensics Digital investigation Self-organising map UCTD |
| url | http://hdl.handle.net/2263/22996 http://upetd.up.ac.za/thesis/available/etd-03072007-153241/ |