AbstractsMathematics

This thesis is concerned with the evolution of fraud investigation and prevention in light of the advances in computing technology. These recent advances have impacted upon traditional fraud offences as well as creating a range of new crimes. The financial significance of fraud is growing whereas law enforcement and the judicial system appear to be unable to meet the demands of these emerging crimes and its victims. This research compares the responses of our present and future investigators with those of our current business leaders from the government and the commercial sectors. This research establishes the needs of corporate decision-makers and the attitudes of police with regard to fraud. Data relating to persons arrested and convicted of fraud was also analysed to identify the issues that may be responsible for the non-reporting of offences to police by victims. The research found that victims are seeking solutions that are not available through law enforcement, for example financial compensation. Law enforcement also under-utilises the potential of proactive responses to prevent offences and they are reluctant to acknowledge the benefits of preventative measures and to incorporate this strategy within criminal investigation training programmes. The lack of deterrence offered by the judicial system does not make the situation any better. The police function is still primarily a reactive one. In order to overcome fraud and to be able to adapt to changes there needs to be collaboration between stakeholders. This requires a joint effort from the police, government, commerce and the victims of fraud. An innovative model involving stakeholders has been formulated that represents an alternative to the current system. This approach utilises the financial resources and expertise from the commercial sector as well as the skills of criminal investigators from the police. This means adopting a combined package of both reactive and proactive measures in order to minimise the impact of fraud. This model will be adaptive and will be able to accommodate any future requirements arising out of further inevitable advances in computer technology.