Monitoring smartphones for anomaly detection
Mobile Networks and Applications
Intrusion detection for mobile devices using the knowledge-based, temporal abstraction method
Journal of Systems and Software
Static analysis of executables for collaborative malware detection on android
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Understanding human-smartphone concerns: a study of battery life
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Crowdroid: behavior-based malware detection system for Android
Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices
"Andromaly": a behavioral malware detection framework for android devices
Journal of Intelligent Information Systems
UbiMI: ubiquitous mobile instrumentation
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Lessons Learned from Large-Scale User Studies: Using Android Market as a Source of Data
International Journal of Mobile Human Computer Interaction
Lightweight energy consumption based intrusion detection system for wireless sensor networks
Proceedings of the 28th Annual ACM Symposium on Applied Computing
| Hi-index | 0.00 |
This paper introduces capabilities developed for a Battery-Sensing Intrusion Protection System (B-SIPS) for mobile computers, which alerts when abnormal current changes are detected. The intrusion detection system's (IDS's) IEEE 802.15.1 (Bluetooth) and 802.11 (Wi-Fi) capabilities are enhanced with iterative safe process checking, wireless connection determination, and an automated intrusion protection disconnect ability. The Correlation Intrusion Detection Engine (CIDE) provides power profiling for mobile devices and a correlated view of B-SIPS and Snort alerts. An examination of smart battery drain times was conducted to ascertain the optimal transmission rate for the B-SIPS client. A 10 second reporting rate was used to assess 9 device types, which were then compared with their corresponding baseline battery lifetime. Lastly, an extensive usability study was conducted to improve the B-SIPS client and CIDE features. The 31 expert participants provided feedback and data useful for validating the system's viability as a complementary IDS for mobile devices.