Paper Info
Title
A lightweight user tracking method for app providers.
Abstract
Since 2013, Google and Apple no longer allow app providers to use the persistent device identifiers (Android ID and UDID) for user tracking on mobile devices. Other tracking options provoke either severe privacy concerns, need additional hardware or are only practicable by a limited number of companies. In this paper, we present a lightweight method that overcomes these weaknesses by using the set of installed apps on a device to create a unique fingerprint. The method was evaluated in a field study with 2410 users and 175,658 installed apps in total. The sets of these installed apps are unique in 99.75% of all inspected users. Furthermore, by reducing the granularity from apps to app categories to lessen users' privacy concerns, the results remain highly unique with an identification rate of 96.22%. Since the information of installed apps and app categories on each device is freely available for any app developer, the method is a valuable instrument for app providers.
Year
DOI
Venue
2016
10.1145/2903150.2903484
Conf. Computing Frontiers
Field
DocType
Citations 
Mobile privacy,World Wide Web,Android (operating system),Computer science,Mobile analytics,Mobile device,Device Identifiers,Mobile deep linking,Reality mining,Mobile apps
Conference
2
PageRank 
References 
Authors
0.37
10
3
Name
Order
Citations
PageRank
Remo M. Frey1142.02
Runhua Xu2353.65
Alexander Ilic312921.71