2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA) (2014)
May 13, 2014 to May 16, 2014
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WAINA.2014.54
The popularity of mobile devices and the enormous number of third party mobile applications in the market have naturally lead to several vulnerabilities being identified and abused. This is coupled with the immaturity of intrusion detection system (IDS) technology targeting mobile devices. In this paper we propose a modular host-based IDS framework for mobile devices that uses behavior analysis to profile applications on the Android platform. Anomaly detection can then be used to categorize malicious behavior and alert users. The proposed system accommodates different detection algorithms, and is being tested at a major telecom operator in North America. This paper highlights the architecture, findings, and lessons learned.
behavior profiling, intrusion detection, dynamic analysis
A. Salman, I. H. Elhajj, A. Chehab and A. Kayssi, "DAIDS: An Architecture for Modular Mobile IDS," 2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA), BC, Canada, 2014, pp. 328-333.