A k-anonymous approach to privacy preserving collaborative filtering

Journal of Computer and System Sciences

Volumn 81, Issue 6, 2015, Pages 1000-1011

  Casino, Fran ^a   Domingo Ferrer, Josep ^a   Patsakis, Constantinos ^b   Puig, Domènec ^a   Solanas, Agusti ^a  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^b TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

Electronic commerce; Microaggregation; Privacy preserving collaborative filtering; Recommender systems

Indexed keywords

ABSTRACTING; ELECTRONIC COMMERCE; GAUSSIAN NOISE (ELECTRONIC); RECOMMENDER SYSTEMS;

K-ANONYMITY; MICROAGGREGATION; PRIVACY PRESERVING;

COLLABORATIVE FILTERING;

EID: 84928269357     PISSN: 00220000     EISSN: 10902724     Source Type: Journal    
DOI: 10.1016/j.jcss.2014.12.013     Document Type: Article

References (36)

1. P. Resnick, and H. Varian Recommender systems Commun. ACM 40 3 1997 56 58
2. H. Jafarkarimi, A. Sim, and R. Saadatdoost A naive recommendation model for large databases Int. J. Inf. Edu. Technol. 2 3 2012 216 219
3. D. Goldberg, D. Nichols, B.M. Oki, and D. Terry Using collaborative filtering to weave an information tapestry Commun. ACM 35 12 1992 61 70
4. P. Resnick, N. Iacovou, and M. Suchak GroupLens: an open architecture for collaborative filtering of netnews Proceedings of the ACM CSCW (3) 1994 175 186
5. J.L. Herlocker, J.a. Konstan, L.G. Terveen, and J.T. Riedl Evaluating collaborative filtering recommender systems ACM Trans. Inf. Syst. 22 1 2004 5 53
6. X. Su, and T.M. Khoshgoftaar A survey of collaborative filtering techniques Adv. Artif. Intell. Res. 2009 3 2009 1 19
7. F. Cacheda, V. Carneiro, D. Fernández, and V. Formoso Comparison of collaborative filtering algorithms ACM Trans. Web 5 1 2011 1 33
8. B. Sarwar, G. Karypis, J. Konstan, and J. Reidl Item-based collaborative filtering recommendation algorithms Proceedings of the 10th International Conference on World Wide Web (15) 2001 285 295
9. D. Lemire, and A. Maclachlan Slope one predictors for online rating-based collaborative filtering J. Soc. Ind. Appl. Math. 05 12 2005 471 475
10. A. Bilge, and H. Polat A comparison of clustering-based privacy-preserving collaborative filtering schemes Appl. Soft Comput. 13 5 2013 2478 2489
11. D.Y. Pavlov, and D.M. Pennock A maximum entropy approach to collaborative filtering in dynamic, sparse, high-dimensional domains Adv. Neural Inf. Process. Syst. 15 2/3 2003 1441 1448
12. A. Schwaighofer, V. Tresp, and H. Kriegel Probabilistic memory-based collaborative filtering IEEE Trans. Knowl. Data Eng. 16 1 2004 56 69
13. Y. Shi, M. Larson, and A. Hanjalic Collaborative filtering beyond the user-item matrix: a survey of the state of the art and future challenges ACM Comput. Surv. 47 1 2014 1 45
14. F. Casino, C. Patsakis, D. Puig, and A. Solanas On privacy preserving collaborative filtering: current trends, open problems, and new issues IEEE 10th International Conference on e-Business Engineering (ICEBE) 2013 244 249
15. W. Wu, J. Zhou, Y. Xiang, and L. Xu How to achieve non-repudiation of origin with privacy protection in cloud computing J. Comput. Syst. Sci. 79 8 2013 1200 1213
16. A. Wahid, C. Leckie, and C. Zhou Estimating the number of hosts corresponding to an intrusion alert while preserving privacy J. Comput. Syst. Sci. 80 3 2014 502 519
17. X. Zhang, C. Liu, S. Nepal, and J. Chen An efficient quasi-identifier index based approach for privacy preservation over incremental data sets on cloud J. Comput. Syst. Sci. 79 5 2013 542 555
18. A. Martinez-Balleste, P.A. Pérez-Martínez, A. Solanas, The pursuit of citizens' privacy: a privacy-aware smart city is possible, Communications Magazine, IEEE 51 (6).
19. F. Casino, J. Domingo-Ferrer, C. Patsakis, D. Puig, and A. Solanas Privacy preserving collaborative filtering with k-anonymity through microaggregation IEEE 10th International Conference on e-Business Engineering (ICEBE) 2013 490 497
20. C.C. Aggarwal On randomization, public information and the curse of dimensionality 2007 IEEE 23rd International Conference on Data Engineering 2007 136 145
21. L. Cranor, J. Reagle, and M. Ackerman Beyond concern: understanding net users' attitudes about online privacy Tech. rep. The Internet Upheaval: Raising Questions, Seeking Answers in Communications Policy 2000
22. M. McPherson, L. Smith-Lovin, and J.M. Cook Birds of a feather: homophily in social networks Annu. Rev. Sociol. 27 1 2001 415 444
23. H. Polat Privacy-preserving collaborative filtering using randomized perturbation techniques Third IEEE International Conference on Data Mining 2003 625 628
24. H. Polat, and L. Hall SVD-based collaborative filtering with privacy Proceedings of the 2005 ACM Symposium on Applied Computing 2005 791 795
25. S. Zhang, J. Ford, and F. Makedon A privacy-preserving collaborative filtering scheme with two-way communication Proceedings of the 7th ACM Conference on Electronic Commerce 2006 316 323
26. R. Parameswaran, and D.M. Blough Privacy preserving collaborative filtering using data obfuscation 2007 IEEE International Conference on Granular Computing GRC 2007 2007 380
27. I. Yakut, and H. Polat Estimating NBC-based recommendations on arbitrarily partitioned data with privacy Knowl.-Based Syst. 36 2012 353 362
28. I. Yakut, and H. Polat Arbitrarily distributed data-based recommendations with privacy Data Knowl. Eng. 72 2012 239 256
29. S. Berkvosky, F. Ricci, Y. Eytani, and T. Kuflik Enhancing privacy and preserving accuracy of a distributed collaborative filtering Proceedings of the 2007 ACM Conference on Recommender Systems 2007 9 16
30. C. Kaleli, and H. Polat P2P collaborative filtering with privacy Turk. J. Electr. Eng. Comput. Sci. 18 1 2010 101 116
31. A. Hundepool, J. Domingo-Ferrer, L. Franconi, S. Giessing, E. Schulte-Nordholt, K. Spicer, and P.-P. de Wolf Statistical Disclosure Control 2012 Wiley
32. A. Narayanan, and V. Shmatikov Robust de-anonymization of large sparse datasets 29th IEEE Symposium on Security and Privacy 2008 111 125
33. J. Domingo-Ferrer, and V. Torra Ordinal, continuous and heterogenerous k-anonymity through microaggregation Data Min. Knowl. Discov. 11 2 2005 195 212
34. D. Gupta, M. Digiovanni, H. Narita, and K. Goldberg Jester 2.0: evaluation of a new linear time collaborative filtering algorithm 22nd International ACM SIGIR 1999 291 292
35. A. Solanas, U. Gonzalez-Nicolas, and A. Martinez-Balleste A variable-MDAV-based partitioning strategy to continuous multivariate microaggregation with genetic algorithms The 2010 International Joint Conference on Neural Networks IJCNN 2010 IEEE 1 7
36. A. Solanas, and A. Martinez-Balleste V-MDAV: a multivariate microaggregation with variable group size 17th COMPSTAT Symposium of the IASC Rome 2006 917 925