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dc.contributor.authorSingh, Ajay 15:24:38 (GMT) 15:24:38 (GMT)
dc.description.abstractIn embedded systems, anomalies can be detected by monitoring the power consumption of the device. Recent literature has shown the use of this technique for the purpose of safety as well as security. However, on-the-fly power monitoring and classification becomes more complex as we increase the sampling rate of the power signal. This thesis presents a study where we experimentally evaluate the required sampling frequency, with respect to classification accuracy, as a function of clock frequency. We analyze the system’s classification accuracy by running it at different clock speeds and varying the sampling frequency for power trace capture. We also show the effect of the sampling frequency on parameters such as training time and classification time.en
dc.publisherUniversity of Waterlooen
dc.subjectpower traceen
dc.subjectanomaly detectionen
dc.subjectsafety and security of embedded systemen
dc.subjectsampling frequencyen
dc.titleA Study of the Power Trace Sampling Frequency Requirements in Non-Intrusive Program Tracing Through Power Consumption Monitoringen
dc.typeMaster Thesisen
dc.pendingfalse and Computer Engineeringen and Computer Engineeringen of Waterlooen
uws-etd.degreeMaster of Applied Scienceen
uws.contributor.advisorFischmeister, Sebastian
uws.contributor.affiliation1Faculty of Engineeringen

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