An Intrusion Detection System for Battery Exhaustion Attacks on Mobile Computers

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dc.contributor.authorNash, Daniel Charlesen
dc.contributor.committeechairMartin, Thomas L.en
dc.contributor.committeememberHsiao, Michael S.en
dc.contributor.committeememberHa, Dong Samen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:38:33Zen
dc.date.adate2005-06-15en
dc.date.available2014-03-14T20:38:33Zen
dc.date.issued2005-05-18en
dc.date.rdate2005-06-15en
dc.date.sdate2005-05-25en
dc.description.abstractMobile 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.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-05252005-140924en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05252005-140924/en
dc.identifier.urihttp://hdl.handle.net/10919/33221en
dc.publisherVirginia Techen
dc.relation.haspartDCN_ETD.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectintrusion detectionen
dc.subjectIDSen
dc.subjectbattery exhaustionen
dc.subjectpower attacksen
dc.subjectlinear regression modelen
dc.titleAn Intrusion Detection System for Battery Exhaustion Attacks on Mobile Computersen
dc.typeThesisen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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