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Enabling anonymous crime reporting on mobile phones in the developing world
Various campaigns indicate that a need exists for a convenient and anonymous crime reporting framework for the context of the developing world. In this thesis a contribution is made by means of a framework that facilitates reporting crime anonymously based on a secure platform. The framework compris...
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| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2014
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| _version_ | 1867613783787044864 |
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| access_status_str | Open Access |
| author | Burke, Mark John |
| author2 | Kayem, Anne |
| author_browse | Burke, Mark John Kayem, Anne |
| author_facet | Kayem, Anne Burke, Mark John |
| author_sort | Burke, Mark John |
| collection | Thesis |
| description | Various campaigns indicate that a need exists for a convenient and anonymous crime reporting framework for the context of the developing world. In this thesis a contribution is made by means of a framework that facilitates reporting crime anonymously based on a secure platform. The framework comprises of two main components namely, a reporting module that is facilitated by unstructured supplementary service data (USSD) on a mobile phone and an anonymization module that is supported by a k-anonymity algorithm. The advantage of using USSD is that it is available to all mobile phones (including the more basic/nonsmart phones that are used by a large percentage of the poorer population in developing countries); and reports made via USSD cannot be traced to the participant. Anonymization has the advantage of guaranteeing user privacy in the management of the reported data. In order to decide on an appropriate anonymization technique for the crime reporting system, we implemented and compared existing popular k-anonymity based algorithms as well as suggesting a crime data anonyimzation algorithm tailored for specific sets of data. The proposed crimemod algorithm is found to provide satisfactory performance and security results. Our results indicate that anonymization algorithms that use hierarchy based generalization techniques, are the best suited to crime reporting scenarios. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/6645 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:41:38.564Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Computer Science |
| publisherStr | Department of Computer Science |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/6645 Enabling anonymous crime reporting on mobile phones in the developing world Burke, Mark John Kayem, Anne Various campaigns indicate that a need exists for a convenient and anonymous crime reporting framework for the context of the developing world. In this thesis a contribution is made by means of a framework that facilitates reporting crime anonymously based on a secure platform. The framework comprises of two main components namely, a reporting module that is facilitated by unstructured supplementary service data (USSD) on a mobile phone and an anonymization module that is supported by a k-anonymity algorithm. The advantage of using USSD is that it is available to all mobile phones (including the more basic/nonsmart phones that are used by a large percentage of the poorer population in developing countries); and reports made via USSD cannot be traced to the participant. Anonymization has the advantage of guaranteeing user privacy in the management of the reported data. In order to decide on an appropriate anonymization technique for the crime reporting system, we implemented and compared existing popular k-anonymity based algorithms as well as suggesting a crime data anonyimzation algorithm tailored for specific sets of data. The proposed crimemod algorithm is found to provide satisfactory performance and security results. Our results indicate that anonymization algorithms that use hierarchy based generalization techniques, are the best suited to crime reporting scenarios. 2014-08-20T19:42:01Z 2014-08-20T19:42:01Z 2013 Master Thesis Masters MSc http://hdl.handle.net/11427/6645 eng application/pdf Department of Computer Science Faculty of Science University of Cape Town |
| spellingShingle | Burke, Mark John Enabling anonymous crime reporting on mobile phones in the developing world |
| thesis_degree_str | Master's |
| title | Enabling anonymous crime reporting on mobile phones in the developing world |
| title_full | Enabling anonymous crime reporting on mobile phones in the developing world |
| title_fullStr | Enabling anonymous crime reporting on mobile phones in the developing world |
| title_full_unstemmed | Enabling anonymous crime reporting on mobile phones in the developing world |
| title_short | Enabling anonymous crime reporting on mobile phones in the developing world |
| title_sort | enabling anonymous crime reporting on mobile phones in the developing world |
| url | http://hdl.handle.net/11427/6645 |
| work_keys_str_mv | AT burkemarkjohn enablinganonymouscrimereportingonmobilephonesinthedevelopingworld |