Privacy aware obfuscation middleware for mobile jukebox recommender services

IFIP Advances in Information and Communication Technology

Volumn 353, Issue , 2011, Pages 73-86

  Elmisery, Ahmed M ^a   Botvich, Dmitri ^a  

^a Ireland   (Ireland)

Author keywords

Clustering; Mobile jukebox; Multi agent; Privacy; Recommender service

Indexed keywords

DATA PRIVACY; ELECTRONIC COMMERCE; MIDDLEWARE; MULTI AGENT SYSTEMS;

3G MOBILE NETWORK; CLUSTERING; MOBILE JUKEBOX; MOBILE OPERATORS; MULTI AGENT; MULTIAGENT ARCHITECTURE; MUSIC DOWNLOAD SERVICE; RECOMMENDER SERVICE;

MOBILE AGENTS;

EID: 84903720938     PISSN: 18684238     EISSN: 1868422X     Source Type: Book Series    
DOI: 10.1007/978-3-642-27260-8_6     Document Type: Conference Paper

References (29)

1. Perik, E., de Ruyter, B., Markopoulos, P., Eggen, B.: The Sensitivities of User Profile Information in Music Recommender Systems. In: Proceedings of Private, Security, Trust (2004).
2. Perik, E., de Ruyter, B., Markopoulos, P.: Privacy & Personalization: Preliminary Results of an Empirical Study of Disclosure Behavior. In: Proceedings of PEP, Edinburgh, UK (2005).
3. Elmisery, A.M., Botvich, D.: An Agent Based Middleware for Privacy Aware Recommender Systems in IPTV Networks. In: Watada, J., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds.) Intelligent Decision Technologies. SIST, vol. 10, pp. 821–832. Springer, Heidelberg (2011).
4. Elmisery, A., Botvich, D.: Agent Based Middleware for Private Data Mashup in IPTV Recommender Services. In: 16th IEEE International Workshop on Computer Aided Modeling, Analysis and Design of Communication Links and Networks. IEEE, Kyoto (2011).
5. Elmisery, A., Botvich, D.: Agent Based Middleware for Maintaining User Privacy in IPTV Recommender Services. In: 3rd International ICST Conference on Security and Privacy in Mobile Information and Communication Systems. ICST, Aalborg (2011).
6. Elmisery, A., Botvich, D.: Privacy Aware Recommender Service for IPTV Networks. In: 5th FTRA/IEEE International Conference on Multimedia and Ubiquitous Engineering. IEEE, Crete (2011).
7. Elmisery, A., Botvich, D.: Private Recommendation Service For IPTV System. In: 12th IFIP/IEEE International Symposium on Integrated Network Management. IEEE, Dublin (2011).
8. McSherry, F., Mironov, I.: Differentially private recommender systems: building privacy into the net. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 627–636. ACM, Paris (2009).
9. Esma, A.: Experimental Demonstration of a Hybrid Privacy-Preserving Recommender System. In: Gilles, B., Jose, M.F., Flavien Serge Mani, O., Zbigniew, R. (eds.), pp. 161–170 (2008).
10. Canny, J.: Collaborative filtering with privacy via factor analysis. In: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 238–245. ACM, Tampere (2002).
11. Canny, J.: Collaborative Filtering with Privacy. In: Proceedings of the 2002 IEEE Symposium on Security and Privacy, p. 45. IEEE Computer Society (2002).
12. Polat, H., Du, W.: Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques. In: Proceedings of the Third IEEE International Conference on Data Mining, p. 625. IEEE Computer Society (2003).
13. Polat, H., Du, W.: SVD-based collaborative filtering with privacy. In: Proceedings of the 2005 ACM Symposium on Applied Computing, pp. 791–795. ACM, Santa Fe (2005).
14. Huang, Z., Du, W., Chen, B.: Deriving private information from randomized data. In: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, pp. 37–48. ACM, Baltimore (2005).
15. Kargupta, H., Datta, S., Wang, Q., Sivakumar, K.: On the Privacy Preserving Properties of Random Data Perturbation Techniques. In: Proceedings of the Third IEEE International Conference on Data Mining, p. 99. IEEE Computer Society (2003).
16. Parameswaran, R., Blough, D.M.: Privacy preserving data obfuscation for inherently clustered data. Int. J. Inf. Comput. Secur. 2, 4–26 (2008).
17. Dingledine, R., Mathewson, N., Syverson, P.: Tor: the second-generation onion router. In: Proceedings of the 13th Conference on USENIX Security Symposium, vol. 13, pp. 21–21. USENIX Association, San Diego (2004).
18. Indyk, P., Motwani, R.: Approximate nearest neighbors: towards removing the curse of dimensionality. In: Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing, pp. 604–613. ACM, Dallas (1998).
19. Pingley, A., Yu, W., Zhang, N., Fu, X., Zhao, W.: CAP: A Context-Aware Privacy Protection System for Location-Based Services. In: Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems, pp. 49–57. IEEE Computer Society (2009).
20. Fellows, M.R., Guo, J., Komusiewicz, C., Niedermeier, R., Uhlmann, J.: Graph-Based Data Clustering with Overlaps. In: Ngo, H.Q. (ed.) COCOON 2009. LNCS, vol. 5609, pp. 516–526. Springer, Heidelberg (2009).
21. Elmisery, A., Huaiguo, F.: Privacy Preserving Distributed Learning Clustering Of HealthCare Data Using Cryptography Protocols. In: 34th IEEE Annual International Computer Software and Applications Workshops, Seoul, South Korea (2010).
22. Borg, I., Groenen, P.J.F.: Modern Multidimensional Scaling: Theory and Applications. Springer Series in Statistics. Springer, Heidelberg (2005).
23. Ghinita, G., Kalnis, P., Skiadopoulos, S.: PRIVE: anonymous location-based queries in distributed mobile systems. In: Proceedings of the 16th International Conference on World Wide Web, pp. 371–380. ACM, Banff (2007).
24. Reaz, A., Raouf, B.: A Scalable Peer-to-peer Protocol Enabling Efficient and Flexible Search (2010).
25. Jarvis, R.A., Patrick, E.A.: Clustering Using a Similarity Measure Based on Shared Near Neighbors. IEEE Trans. Comput. 22, 1025–1034 (1973).
26. Konstan, J., Miller, B., Maltz, D., Herlocker, J., Gordon, L., Riedl, J.: GroupLens: Applying Collaborative Filtering to {Usenet} News. Communications of the ACM 40, 77–87 (1997).
27. Lam, S., Herlocker, J.: MovieLens Data Sets. Department of Computer Science and Engineering at the University of Minnesota (2006).
28. Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22, 5–53 (2004).
29. Kingsford, C.: Information Theory Notes (2009).