Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

School of Computer & Security Science/Security Research Centre (secAU)

RAS ID

10311

Comments

This article was originally published as: 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. Original article available here

© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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

 
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Link to publisher version (DOI)

10.1109/EST.2010.26