D.Phil. / Computer-based information systems will probably always have to contend with security issues. Much research have already gone into the field of information security. These research results have yielded some very sophisticated and effective security mechanisms and procedures. However, due to the ever increasing sophistication of criminals, combined with the ever changing and evolving information technology environment, some limitations still exist within the field of information security. Recent years have seen the proliferation of products embracing so-called artificial intelligence technologies. These products are in fields as diverse as engineering, business and medicine. The successes achieved in these fields pose the question whether artificial intelligence has a role to play within the field of information security. This thesis discusses limitations within information security and proposes ways in which artificial intelligence can be effectively applied to address these limitations. Specifically, the fields of authentication and risk analysis are identified as research fields where artificial intelligence has much to offer. These fields are explored in the context of their limitations and ways in which artificial intelligence can be applied to address these limitations. This thesis identifies two mainstream approaches in the attainment of artificial intelligence. These mainstream approaches are referred to as the "traditional" approach and the "non-traditional" approach. The traditional approach is based on symbolic processing, as opposed to the non-traditional approach, which is based on an abstraction of human reasoning. A representative technology from each of these mainstream approaches is selected to research their applicability within information security. Actual working prototypes of artificial intelligence techniques were developed to substantiate the results obtained in this research.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uj/uj:2641 |
| Date | 17 August 2012 |
| Creators | De Ru, Willem Gerhardus |
| Source Sets | South African National ETD Portal |
| Detected Language | English |
| Type | Thesis |
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