Type of Document Master's Thesis Author Nash, Daniel Charles Author's Email Address firstname.lastname@example.org URN etd-05252005-140924 Title An Intrusion Detection System for Battery Exhaustion Attacks on Mobile Computers Degree Master of Science Department Electrical and Computer Engineering Advisory Committee
Advisor Name Title Martin, Thomas L. Committee Chair Ha, Dong Sam Committee Member Hsiao, Michael S. Committee Member Keywords
- intrusion detection
- battery exhaustion
- power attacks
- linear regression model
Date of Defense 2005-05-18 Availability unrestricted Abstract
Mobile personal computing devices continue to proliferate and individuals’ reliance on them for day-to-day needs necessitate that these platforms be secure. Mobile computers are subject to a unique form of denial of service attack known as a battery exhaustion attack, in which an attacker attempts to rapidly drain the battery of the device. Battery exhaustion attacks greatly reduce the utility of the mobile devices by decreasing battery life. If steps are not taken to thwart these attacks, they have the potential to become as widespread as the attacks that are currently mounted against desktop systems.
This thesis presents steps in the design of an intrusion detection system for detecting these attacks, a system that takes into account the performance, energy, and memory constraints of mobile computing devices. This intrusion detection system uses several parameters, such as CPU load and disk accesses, to estimate the power consumption of two test systems using multiple linear regression models, allowing us to find the energy used on a per process basis, and thus identifying processes that are potentially battery exhaustion attacks.
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