MobileAppScrutinator: A Simple yet Efficient Dynamic Analysis Approach for Detecting Privacy Leaks across Mobile OSs

Jagdish Prasad Achara 1 Vincent Roca 1 Claude Castelluccia 1 Aurelien Francillon 2
1 PRIVATICS - Privacy Models, Architectures and Tools for the Information Society
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : Smartphones, the devices we carry everywhere with us, are being heavily tracked and have undoubtedly become a major threat to our privacy. As " Tracking the trackers " has become a necessity, various static and dynamic analysis tools have been developed in the past. However, today, we still lack suitable tools to detect, measure and compare the ongoing tracking across mobile OSs. To this end, we propose MobileAppScrutinator, based on a simple yet efficient dynamic analysis approach, that works on both Android and iOS (the two most popular OSs today). To demonstrate the current trend in tracking, we select 140 most representative Apps available on both Android and iOS AppStores and test them with MobileAppScrutinator. In fact, choosing the same set of apps on both Android and iOS also enables us to compare the ongoing tracking on these two OSs. Finally, we also discuss the effectiveness of privacy safeguards available on Android and iOS. We show that neither Android nor iOS privacy safeguards in their present state are completely satisfying.
Type de document :
Pré-publication, Document de travail
2016
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https://hal.inria.fr/hal-01322286
Contributeur : Jagdish Prasad Achara <>
Soumis le : jeudi 26 mai 2016 - 18:51:30
Dernière modification le : mardi 13 décembre 2016 - 15:45:49
Document(s) archivé(s) le : samedi 27 août 2016 - 11:08:44

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Jagdish Prasad Achara, Vincent Roca, Claude Castelluccia, Aurelien Francillon. MobileAppScrutinator: A Simple yet Efficient Dynamic Analysis Approach for Detecting Privacy Leaks across Mobile OSs. 2016. <hal-01322286>

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