Battery Polling and Trace Determination for Bluetooth Attack Detection in Mobile Devices

This paper introduces a supporting model for a unique Battery-Sensing Intrusion Protection System (B-SIPS) for mobile computers, which alerts when power changes are detected on small wireless devices. An analytical model is employed to examine the smart battery characteristics to support the theoretical intrusion detection limits and capabilities of B-SIPS. This research explores the modification of the smart battery polling rates in conjunction with the variance of malicious network activity. Using the results from a previous study of optimized static polling rates to create minimum and maximum thresholds, a dynamic polling rate algorithm was devised.