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Monitoring smartphones for anomaly detection
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Source MOBILWARE; Vol. 278 archive
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications table of contents
Innsbruck, Austria
SESSION: Communication layer issues table of contents
Article No. 40  
Year of Publication: 2008
ISBN:978-1-59593-984-5
Authors
Aubrey-Derrick Schmidt  Technische Universität Berlin
Frank Peters  Technische Universität Berlin
Florian Lamour  Technische Universität Berlin
Sahin Albayrak  Technische Universität Berlin
Sponsor
ACM : Assoc. for Computing Machinery
Publisher
Bibliometrics
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ABSTRACT

In this paper we demonstrate how to monitor a smartphone running Symbian OS in order to extract features that describe the state of the device and can be used for anomaly detection. These features are sent to a remote server, because running a complex intrusion detection system (IDS) on this kind of mobile device still is not feasible, due to capability and hardware limitations. We give examples on how to compute some of the features and introduce the top ten applications used by mobile phone users basing on a study in 2005. The usage of these applications is recorded and visualized and for a first comparison, data results of the monitoring of a simple malware are given.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Aubrey-Derrick Schmidt: colleagues
Frank Peters: colleagues
Florian Lamour: colleagues
Sahin Albayrak: colleagues