Who wants to know what when? privacy preference determinants in ubiquitous computing
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Location disclosure to social relations: why, when, & what people want to share
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Developing privacy guidelines for social location disclosure applications and services
SOUPS '05 Proceedings of the 2005 symposium on Usable privacy and security
Privacy in Location-Aware Computing Environments
IEEE Pervasive Computing
When are users comfortable sharing locations with advertisers?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 13th international conference on Ubiquitous computing
A survey of mobile malware in the wild
Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices
Proceedings of the 18th ACM conference on Computer and communications security
Indirect content privacy surveys: measuring privacy without asking about it
Proceedings of the Seventh Symposium on Usable Privacy and Security
User-Driven Access Control: Rethinking Permission Granting in Modern Operating Systems
SP '12 Proceedings of the 2012 IEEE Symposium on Security and Privacy
Understanding Users' Requirements for Data Protection in Smartphones
ICDEW '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering Workshops
SnapMe if you can: privacy threats of other peoples' geo-tagged media and what we can do about it
Proceedings of the sixth ACM conference on Security and privacy in wireless and mobile networks
Privacy as part of the app decision-making process
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Location privacy revisited: factors of privacy decisions
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the Ninth Symposium on Usable Privacy and Security
Quantitative security risk assessment of android permissions and applications
DBSec'13 Proceedings of the 27th international conference on Data and Applications Security and Privacy XXVII
Reconciling mobile app privacy and usability on smartphones: could user privacy profiles help?
Proceedings of the 23rd international conference on World wide web
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Smartphone operating systems warn users when third-party applications try to access sensitive functions or data. However, all of the major smartphone platforms warn users about different application actions. To our knowledge, their selection of warnings was not grounded in user research; past research on mobile privacy has focused exclusively on the risks pertained to sharing location. To expand the scope of smartphone security and privacy research, we surveyed 3,115 smartphone users about 99 risks associated with 54 smartphone privileges. We asked participants to rate how upset they would be if given risks occurred and used this data to rank risks by levels of user concern. We then asked 41 smartphone users to discuss the risks in their own words; their responses confirmed that people find the lowest-ranked risks merely annoying but might seek legal or financial retribution for the highest-ranked risks. In order to determine the relative frequency of risks, we also surveyed the 3,115 users about experiences with "misbehaving" applications. Our ranking and frequency data can be used to guide the selection of warnings on smartphone platforms.