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A Multi-agent System for Smartphone Intrusion Detection Framework

  • Conference paper
Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 1))

Abstract

There has been significant growth in the number of malware using the Android platform, especially malware that target Short Message Services (SMS). The mobile botnet has been using SMS as a channel to distribute spam, send unauthorized SMS messages without user knowledge, use command and control (C&C) channel, and attach malicious URLs. With the limitation of Android smartphone resources, a multi-agent technology can make our framework to be more robust and efficient. In this paper, we propose a multi-agent system that is currently being developed using JADE platform for observing Android Smartphone features and monitoring SMS services, as well as creating Android profiles. Our framework applies hybrid detection approaches in order to counteract botnet attacks, by investigating damaging SMS botnet activities through the examination of Smartphone behaviour. These approaches utilize multi-agent technology to recognize malicious SMS and prevent users from opening these messages, by applying behavioural analysis to find the correlation between suspicious SMS messages and the profiles reported by the agents.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada

    Abdullah J. Alzahrani & Ali A. Ghorbani

Authors
  1. Abdullah J. Alzahrani
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  2. Ali A. Ghorbani
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Corresponding author

Correspondence to Abdullah J. Alzahrani .

Editor information

Editors and Affiliations

  1. Department of Infomatics, Kindai University, Faculty of Science and Technology, Higashi-Osaka, Japan

    Hisashi Handa

  2. Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka, Japan

    Hisao Ishibuchi

  3. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Yew-Soon Ong

  4. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    Kay Chen Tan

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Alzahrani, A.J., Ghorbani, A.A. (2015). A Multi-agent System for Smartphone Intrusion Detection Framework. In: Handa, H., Ishibuchi, H., Ong, YS., Tan, K. (eds) Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1. Proceedings in Adaptation, Learning and Optimization, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-13359-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-13359-1_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13358-4

  • Online ISBN: 978-3-319-13359-1

  • eBook Packages: EngineeringEngineering (R0)

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