• search hit 2 of 5
Back to Result List

DiOS: Dynamic Privacy Analysis of iOS Applications

Please always quote using this URN: urn:nbn:de:bvb:29-opus4-47559
  • We present DiOS, a practical system to perform automated dynamic privacy analysis of iOS apps. DiOS provides a highly scalable and fully automated solution to schedule apps from the official Apple App Store for privacy analysis to iOS devices. While apps are automatically executed, user interaction is simulated using random and smart execution strategies, and sensitive API calls as well as network connections are tracked. We evaluated the system on 1,136 of the most popular free apps from the iOS App Store and found out that almost 20% of all investigated apps are tracking users' locations on every app start, one third of all accesses to users' address books are attributed to appsWe present DiOS, a practical system to perform automated dynamic privacy analysis of iOS apps. DiOS provides a highly scalable and fully automated solution to schedule apps from the official Apple App Store for privacy analysis to iOS devices. While apps are automatically executed, user interaction is simulated using random and smart execution strategies, and sensitive API calls as well as network connections are tracked. We evaluated the system on 1,136 of the most popular free apps from the iOS App Store and found out that almost 20% of all investigated apps are tracking users' locations on every app start, one third of all accesses to users' address books are attributed to apps from the social network category and almost half of all apps are tracking users' app usage behavior by incorporating tracking and advertising libraries.show moreshow less

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar Statistics
Metadaten
Author:Andreas Kurtz, Andreas Weinlein, Christoph Settgast, Felix Freiling
URN:urn:nbn:de:bvb:29-opus4-47559
Series (Volume number):Technical reports / Department Informatik (CS-2014-03)
Document Type:Report
Language:English
Year of Completion:2014
Publishing Institution:Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Release Date:2014/06/10
SWD-Keyword:Apps; iOS; Privatsphäre; Dynamische Analyse
Institutes:Technische Fakultät / Department Informatik
CCS-Classification:D. Software
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
open_access (DINI-Set):open_access
Licence (German):Creative Commons - CC BY - Namensnennung 3.0