Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/2150
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dc.contributor.authorGupta, Arnav-
dc.contributor.authorKalpasi, Sarthak-
dc.contributor.authorChakravarty, Sambuddho (Advisor)-
dc.date.accessioned2026-09-15T10:24:57Z-
dc.date.available2026-09-15T10:24:57Z-
dc.date.issued2024-12-10-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/2150-
dc.description.abstractSmartphone accessibility has increased in the past decade, and with it, the proliferation of smart phone apps. These apps are used for a wide variety of purposes, some of which involve handling of sensitive user information. This information can be lucrative to many threat actors, and one way of extracting this information is to load a malware onto the user’s smartphone. Our work explores the usage of side channel attacks for this purpose. We look at existing side channel attacks on smartphones, and build our own by observing system metrics using both root and without root privileges and building a classifier on it.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectSide-channel attacksen_US
dc.subjectMobile malwareen_US
dc.subjectUser privacy leakageen_US
dc.subjectApp behavior analysisen_US
dc.subjectSystem call analysisen_US
dc.titleAndroid side channel attacks malwareen_US
dc.typeOtheren_US
Appears in Collections:Year-2024

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