Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Security Science / Security Research Centre (secAU)
RAS ID
10311
Abstract
Over the last decade, the mobile device has become a ubiquitous tool within everyday life. Unfortunately, whilst the popularity of mobile devices has increased, a corresponding increase can also be identified in the threats being targeted towards these devices. Security countermeasures such as AV and firewalls are being deployed, however, the increasing sophistication of the attacks requires additional measures to be taken. This paper proposes a novel behaviour-based profiling technique that is able to build upon the weaknesses of current systems by developing a comprehensive multilevel approach to profiling. In support of this model, a series of experiments have been designed to look at profiling calling, device usage and Bluetooth network scanning. Using neural networks, experimental results for the aforementioned activities' are able to achieve an EER (Equal Error Rate) of: 13.5%, 35.1% and 35.7%.
DOI
10.1109/EST.2010.26
Access Rights
free_to_read
Comments
This is an Author's Accepted Manuscript of: Li, F., Clarke, N. , Papadaki, M., & Dowland, P. (2010). Behaviour profiling on mobile devices. Proceedings of International Conference on Emerging Security Technologies. (pp. 77-82). . Canterbury, UK. IEEE. Available here
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