No technical understanding required: Helping users make informed choices about access to their personal data

MobiQuitous 2014 - 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

Volumn , Issue , 2014, Pages 140-150

  Liccardi, Ilaria ^a,b   Pato, Joseph ^a   Weitzner, Daniel J ^a   Abelson, Hal ^a   De Roure, David ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Android apps; Personal information; Privacy

Indexed keywords

DATA PRIVACY; SIGNAL ENCODING; SMARTPHONES; UBIQUITOUS COMPUTING;

ANDROID APPS; ANDROID SMARTPHONE; CURRENT STRUCTURE; GOOGLE PLAYS; PERSONAL INFORMATION; QUANTITATIVE MEASURES; SMARTPHONE APPS; TECHNICAL UNDERSTANDING;

ANDROID (OPERATING SYSTEM);

EID: 84924328396     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.mobiquitous.2014.258066     Document Type: Conference Paper

References (41)

1. R. Balebako, J. Jung, W. Lu, L. F. Cranor, and C. Nguyen. "little brothers watching you": raising awareness of data leaks on smart phones. In Proc. of ACM SOUPS '13, pages 121-1211, 2013.
2. D. Barrera, H. G. Kayacik, P. C. van Oorschot, and A. Somayaji. A methodology for empirical analysis of permission-based security models and its application to android. In Proc. of ACM CCS '10, pages 73-84, 2010.
3. A. R. Beresford, A. Rice, N. Skehin, and R. Sohan. Mock droid: Trading privacy for application functionality on smart phones. In Proc. of ACM HotMobile '11, pages 49-54, 2011.
4. J. L. Boyles, A. Smith, and M. Madden. Privacy and data management on mobile devices. Pew's Report: Mobile Identity, pages 1-19, September 5th 2012.
5. E. Chin, A. P. Felt, V. Sekar, and D. Wagner. Measuring user confidence in smart phone security and privacy. In Proc. of ACM SOUPS '12, pages 11-116, 2012.
6. M. Dietz, S. Shekhar, D. S. Wallach, Y. Pisetsky, and A. Shu. Quire: Lightweight provenance for smart phone operating systems. In Proc. of Usenix Security Symposium, pages 347-362, 2011.
7. N. Eagle, A. Pentland, and D. Lazer. Inferring friendship network structure by using mobile phone data. Proc. of the National Academy of Sciences (PNAS), 106(36):15274-15278, 2009.
8. S. Egelman, A. Porter Felt, and D. Wagner. Choice architecture and smart phone privacy: There's a price for that. In Workshop on the Economics of Information Security (WEIS), 2012.
9. W. Enck, P. Gilbert, B.-G. Chun, L. P. Cox, J. Jung, P. McDaniel, and A. N. Sheth. Taintdroid: An information-flow tracking system for real time privacy monitoring on smart phones. In Proc. of OSDI'10, pages 1-6, 2010.
10. Federal Trade Commission. Mobile apps for kids: Current privacy disclosures are disappointing. pages 1-23, February 2012.
11. Federal Trade Commission. Mobile apps for kids: Disclosures still not making the grade. pages 1-21, December 2012.
12. Federal Trade Commission. Mobile privacy disclosures: Building trust through transparency. pages 1-29, February 2013.
13. A. P. Felt, E. Chin, S. Hanna, D. Song, and D. Wagner. Android permissions demystified. In Proc. of ACM CCS '11, pages 627-638, 2011.
14. A. P. Felt, S. Egelman, and D. Wagner. I've got 99 problems, but vibration ain't one: A survey of smart phone users' concerns. In Proc. of ACM SPSM '12, pages 33-44, 2012.
15. A. P. Felt, E. Ha, S. Egelman, A. Haney, E. Chin, and D. Wagner. Android permissions: user attention, comprehension, and behavior. In Proc. of ACM SOUPS '12, pages 31-314, 2012.
16. A. Gahran. Survey: Most cell phone users don't protect mobile privacy. CNN Tech, September 2012.
17. GSM Association. Gsma mobile and privacy, privacy design guidelines for mobile application development. pages 1-27, February 2012.
18. P. G. Kelley, J. Bresee, L. F. Cranor, and R. W. Reeder. A "nutrition label" for privacy. In Proc. of ACM SOUPS '09, pages 41-412, 2009.
19. P. G. Kelley, S. Consolvo, L. F. Cranor, J. Jung, N. Sadeh, and D. Wetherall. A conundrum of permissions: Installing applications on an android smart phone. In Proc. of USEC '12, pages 1-12, 2012.
20. P. G. Kelley, L. F. Cranor, and N. Sadeh. Privacy as part of the app decision-making process. In Proc. of ACM CHI'13, pages 3393-3402, 2013.
21. B. Krishnamurthy and C. E. Wills. On the leakage of personally identifiable information via online social networks. SIGCOMM Comput. Commun. Rev., 40(1):112-117, January 2010.
22. N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T. Campbell. A survey of mobile phone sensing. Communications Magazine, IEEE, 48(9):140 -150, 2010.
23. I. Liccardi, J. Pato, and D. J. Weitzner. Improving Mobile App selection through Transparency and Better Permission Analysis. Journal of Privacy and Confidentiality: Vol. 5: Iss. 2, Article 1., pages 1-55, 2014.
24. J. Lin, S. Amini, J. I. Hong, N. Sadeh, J. Lindqvist, and J. Zhang. Expectation and purpose: understanding users' mental models of mobile app privacy through crowd sourcing. In Proc. of ACM UBICOMP '12, pages 501-510, 2012.
25. J. Manoogian. How free apps can make more money than paid apps. Tech Crunch, August 2012.
26. A. McDonald and L. F. Cranor. Beliefs and behaviors: Internet users' understanding of behavioral advertising. In TPRC, pages 1-31. 2010.
27. M. Merisavo, J. Vesanen, A. Arponen, S. Kajalo, and M. Raulas. The effectiveness of targeted mobile advertising in selling mobile services: An empirical study. International Journal of Mobile Communications, 4(2):119-127, 2006.
28. S. Meurer and R. Wismüller. Apefs: An infrastructure for permission-based filtering of android apps. In Security and Privacy in Mobile Information and Communication Systems, volume 107, pages 1-11. 2012.
29. Mobile Europe. Gsma urges european mobile industry to adopt new privacy framework. Press Wires, January 2013.
30. National Telecommunications Information Administration. Privacy multi stakeholder process: Mobile application transparency. March 2013.
31. W. Pan, N. Aharony, and A. S. Pentland. Composite social network for predicting mobile apps installation. In Proc. of ACM AAAI '11, pages 821-827, 2011.
32. T. Parka, R. Shenoya, and G. Salvendya. Effective advertising on mobile phones: A literature review and presentation of results from 53 case studies. Journal of Behaviour Information Technology, 27(5):355-373, 2008.
33. P. Pearce, A. P. Felt, G. Nunez, and D. Wagner. Addroid: privilege separation for applications and advertisers in android. In Proc. of ACM ASIACCS '12, pages 71-82, 2012.
34. N. Perlroth and N. Bilton. Mobile apps take data without permission. New York Times, February 2012.
35. A. Porter Felt, S. Hanna, E. Chin, H. J. Wang, and E. Moshchuk. Permission re-delegation: Attacks and defenses. In Proc. of Usenix Security Symposium, pages 331-346, 2011.
36. K. Shilton. Four billion little brothers?: privacy, mobile phones, and ubiquitous data collection. Communications of the ACM, 52(11):48-53, 2009.
37. D. J. Solove. Understanding Privacy. Harvard University Press, March 30 2010.
38. D. J. Solove. Nothing to Hide: The False Tradeoff between Privacy and Security. Yale University Press, May 31 2011.
39. I. Trestian, S. Ranjan, A. Kuzmanovic, and A. Nucci. Measuring serendipity: connecting people, locations and interests in a mobile 3g network. In Proc. of ACM IMC '09, pages 267-279, 2009.
40. H. Xu, H.-H. Teo, B. C. Y. Tan, and R. Agarwal. The role of push-pull technology in privacy calculus: The case of location-based services. Journal of Management Information Systems, 26(3):135-174, 2009.
41. F. Zhang, F. Shih, and D. Weitzner. No surprises: Measuring intrusiveness of smart phone applications by detecting objective context deviations. In Workshop on Privacy in the Electronic Society (ACM CCS' 13), pages 1-6, 2013.