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Supply current monitoring for anomaly detection on IoT devices

dc.creatorMyridakis D., Spathoulas G., Kakarountas A.en
dc.date.accessioned2023-01-31T09:02:44Z
dc.date.available2023-01-31T09:02:44Z
dc.date.issued2017
dc.identifier10.1145/3139367.3139423
dc.identifier.isbn9781450353557
dc.identifier.urihttp://hdl.handle.net/11615/76856
dc.description.abstractThis paper presents results from the correlation of the supply current of a smart device to its functional characteristics in order to detect a manufacturing or an operational anomaly. Awareness of the typical operation of a smart device in terms of operation and functionality, may prove valuable, since any deviation may warn for operational or functional anomaly. This is a symptomatic approach rather than an analytical approach of the cause. In this paper, the deviation (either increase or decrease) of the supply current is exploited for this reason. The paper offers the results from an IP camera case study that proves this assumption. c 2017 Association for Computing Machinery.en
dc.language.isoenen
dc.sourceACM International Conference Proceeding Seriesen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85038921261&doi=10.1145%2f3139367.3139423&partnerID=40&md5=57a53039e64dd460a1a6679f781779bc
dc.subjectMachineryen
dc.subjectAnalytical approachen
dc.subjectAnomaly detectionen
dc.subjectComputing machineryen
dc.subjectCurrent monitoringen
dc.subjectFunctional characteristicsen
dc.subjectsecurityen
dc.subjectSupply current monitoringen
dc.subjectSupply currentsen
dc.subjectInternet of thingsen
dc.subjectAssociation for Computing Machineryen
dc.titleSupply current monitoring for anomaly detection on IoT devicesen
dc.typeconferenceItemen


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