Mining permission request patterns from Android and Facebook applications

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2012, Pages 870-875

  Frank, Mario ^a   Dong, Ben ^a   Felt, Adrienne Porter ^a   Song, Dawn ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Android; Facebook; Pattern mining; Permissions; Smartphones; Unsupervised learning

Indexed keywords

ANDROID; ANDROID APPLICATIONS; API CALLS; BOOLEAN MATRIX; FACEBOOK; FACEBOOK APPLICATIONS; OR APPLICATIONS; OVERLAPPING CLUSTERS; PATTERN MINING; PERMISSIONS; PHONE CALLS; PRIVATE DATA; SECURITY MEASURE; THIRD PARTY APPLICATION (APPS); USER SATISFACTION;

DATA MINING; SMARTPHONES; SOCIAL NETWORKING (ONLINE); UNSUPERVISED LEARNING;

ROBOTS;

EID: 84874080269     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2012.86     Document Type: Conference Paper

References (19)

1. A. P. Felt, E. Ha, S. Egelman, A. Haney, E. Chin, and D. Wagner, "Android Permissions: User Attention, Comprehension, and Behavior," Tech. Rep.
2. J. King, A. Laminen, and A. Smolen, "Privacy: Is there an app for that?" in Proceedings of the Symposium on Usable Privacy and Security, ser. SOUPS, 2011.
3. D. Barrera, H. G. u. c. Kayacik, P. C. van Oorschot, and A. Somayaji, "A methodology for empirical analysis of permission-based security models and its application to android," in ACM CCS '10.
4. P. H. Chia, Y. Yamamoto, and N. Asokan, "Is this App Safe? A Large Scale Study on Application Permissions and Risk Signals," in Proceedings of the World Wide Web Conf., ser. WWW, 2012.
5. A. P. Felt, K. Greenwood, and D. Wagner, "The effectiveness of application permissions," in Proceedings of the USENIX Conf. on Web Application Development, ser. WebApps, 2011.
6. B. Sanz, I. Santos, C. Laorden, X. Ugarte-Pedrero, and P. Bringas, "On the automatic categorisation of android applications," in Proceedings of the 9th IEEE Consumer Communications and Networking Conf. (CCNC), 2012.
7. A. Shabtai, Y. Fledel, and Y. Elovici, "Automated static code analysis for classifying android applications using machine learning," in Proceedings of the 2010 International Conf. on Computational Intelligence and Security, 2010.
8. Y. Zhou, Z. Wang, W. Zhou, and X. Jiang, "Hey, You, Get off of My Market: Detecting Malicious Apps in Official and Alternative Android Markets," in NDSS'2012.
9. W. Enck, M. Ongtang, and P. McDaniel, "On Lightweight Mobile Phone Application Certification," in ACM CCS'09.
10. M. Frank, B. Dong, A. P. Felt, and D. Song, "Mining permission request patterns from android and facebook applications (extended author version)," CoRR, vol. abs/1210.2429, 2012.
11. L. Horn, "Report: Android market reaches 500,000 apps," http://www.pcmag.com/article2/0.2817.2395188.00.asp.
12. SocialBakers - Apps on Facebook, http://www.socialbakers.com/facebook- applications.
13. M. Frank, A. P. Streich, D. Basin, and J. M. Buhmann, "Multiassignment clustering for Boolean data," Journal of Machine Learning Research, vol. 13, pp. 459-489, Feb 2012.
14. M. Kuhlmann, D. Shohat, and G. Schimpf, "Role mining -revealing business roles for security administration using data mining technology," in ACM SACMAT'03, pp. 179-186.
15. J. Vaidya, V. Atluri, and Q. Guo, "The role mining problem: A formal perspective," ACM Trans. Inf. Syst. Secur., vol. 13, no. 3, pp. 27:1-27:31, Jul. 2010.
16. D. F. Ferraiolo and D. R. Kuhn, "Role Based Access Control," in 15th National Computer Security Conf., 1992, pp. 554-563.
17. T. Lange, V. Roth, M. L. Braun, and J. M. Buhmann, "Stability-based validation of clustering solutions," Neural Computation, vol. 16, pp. 1299-1323, 2004.
18. M. Frank, M. Chehreghani, and J. M. Buhmann, "The minimum transfer cost principle for model-order selection," in ECML PKDD '11. Springer, 2011, vol. 6911, pp. 423-438.
19. H. Peng, C. Gates, B. Sarma, N. Li, Y. Qi, R. Potharaju, C. Nita-Rotaru, and I. Molloy, "Using Probabilistic Generative Models for Ranking Risks of Android Apps," in ACM CCS, 2012.