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Title: Investigation into reduction and/or prevention of cybercrime victimisation among the user individuals
Author: Askerniya, Imran
ISNI:       0000 0004 2711 1130
Awarding Body: University of East London
Current Institution: University of East London
Date of Award: 2010
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Much of today's information is stored in digital form in computers and information in the digital form is much more easily stored, duplicated and manipulated. Businesses have to use information effectively in order to remain competitive, and storing information in the digital form allows them to use information much more effectively. As most computers are always connected to the Internet, this gives to attacker an easy (unauthorised) access to the computer through the network. The contribution to knowledge that this research brings is the development of the models on reduction/ prevention of cybercrime as there are little mainstream research exist. The model is concentrates on the point of view of the victims, that is, what makes each victim vulnerable, and how the cybercrime prevention strategies should be adapted according to the unique characteristics of the victim. The aim of this research is to help minimise the victimisation of cybercrime in Russian cyber space. It is worth mentioning that there is no such model, exist. Therefore, this work has attempted to fill this significant gap in the research by proposing four-dimensional grid model. The model is based on the existing traditional crime prevention model and situational crime prevention theory. The grid model provides three preventive strategies: Education, Training, and Awareness. The model and these strategies were evaluated qualitatively and quantitatively by distributing questionnaires and interviewing the Moscow cybercrime experts
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available