Polling the smart battery for efficiency: Lifetime optimization in battery-sensing intrusion protection systems

Abstract

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 smart battery characteristics to support the theoretical intrusion detection limits and capabilities of B-SIPS. Battery-based attack detections can be significantly increased by investigating variable smart battery polling rates, system management bus speeds, and attack execution times. This research explores the modification of smart battery polling rates in conjunction with the variance of malicious network activity. An optimum static polling rate for each of the selected illicit network attack densities was determined by altering these two parameters. These optimum static polling rates introduce minimum and maximum thresholds for the various scenarios mobile devices encounter on a daily basis. Future work will investigate dynamic solutions to optimize battery lifetime under a range of circumstances by encompassing the data results found in this study.