Unsafe exposure analysis of mobile in-app advertisements
Proceedings of the fifth ACM conference on Security and Privacy in Wireless and Mobile Networks
AdSplit: separating smartphone advertising from applications
Security'12 Proceedings of the 21st USENIX conference on Security symposium
Dr. Android and Mr. Hide: fine-grained permissions in android applications
Proceedings of the second ACM workshop on Security and privacy in smartphones and mobile devices
Breaking for commercials: characterizing mobile advertising
Proceedings of the 2012 ACM conference on Internet measurement conference
Permission evolution in the Android ecosystem
Proceedings of the 28th Annual Computer Security Applications Conference
Towards an understanding of the impact of advertising on data leaks
International Journal of Security and Networks
CAMEO: a middleware for mobile advertisement delivery
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
AdRob: examining the landscape and impact of android application plagiarism
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
SIF: a selective instrumentation framework for mobile applications
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Understanding mobile app usage patterns using in-app advertisements
PAM'13 Proceedings of the 14th international conference on Passive and Active Measurement
Personal cloudlets for privacy and resource efficiency in mobile in-app advertising
Proceedings of the first international workshop on Mobile cloud computing & networking
An empirical study of cryptographic misuse in android applications
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
The impact of vendor customizations on android security
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
A case of collusion: a study of the interface between ad libraries and their apps
Proceedings of the Third ACM workshop on Security and privacy in smartphones & mobile devices
AFrame: isolating advertisements from mobile applications in Android
Proceedings of the 29th Annual Computer Security Applications Conference
Securing embedded user interfaces: Android and beyond
SEC'13 Proceedings of the 22nd USENIX conference on Security
Can Smartphone Users Turn Off Tracking Service Settings?
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
Systematic audit of third-party android phones
Proceedings of the 4th ACM conference on Data and application security and privacy
Compac: enforce component-level access control in android
Proceedings of the 4th ACM conference on Data and application security and privacy
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Advertising is a critical part of the Android ecosystem---many applications use one or more advertising services as a source of revenue. To use these services, developers must bundle third-party, binary-only libraries into their applications. In this model, applications and their advertising libraries share permissions. Advertising-supported applications must request multiple privacy-sensitive permissions on behalf of their advertising libraries, and advertising libraries receive access to all of their host applications' other permissions. We conducted a study of the Android Market and found that 49% of Android applications contain at least one advertising library, and these libraries overprivilege 46% of advertising-supported applications. Further, we find that 56% of the applications with advertisements that request location (34% of all applications) do so only because of advertisements. Such pervasive overprivileging is a threat to user privacy. We introduce AdDroid, a privilege separated advertising framework for the Android platform. AdDroid introduces a new advertising API and corresponding advertising permissions for the Android platform. This enables AdDroid to separate privileged advertising functionality from host applications, allowing applications to show advertisements without requesting privacy-sensitive permissions.