Privacy preserving collaborative filtering for SaaS enabling PaaS clouds

Journal of Cloud Computing

Volumn 1, Issue 1, 2012, Pages 1-14

  Basu, Anirban ^a   Vaidya, Jaideep ^b   Kikuchi, Hiroaki ^a   Dimitrakos, Theo ^c   Nair, Srijith K ^c  

^a TOKAI UNIVERSITY   (Japan)

^b RUTGERS UNIVERSITY   (United States)

^c MARTLESHAM HEATH   (United Kingdom)

Author keywords

Cloud computing; Collaborative filtering; Homomorphic cryptosystem; Privacy; Slope one

Indexed keywords

APPLICATION PROGRAMS; CLOUD COMPUTING; COLLABORATIVE FILTERING; DATA PRIVACY; SOFTWARE AS A SERVICE (SAAS); WEB SERVICES;

AMAZON WEB SERVICES; GOOGLE APP ENGINES; HOMOMORPHIC CRYPTOSYSTEM; IMPLEMENTATION DIFFICULTIES; PRIVACY PRESERVING; PUBLIC CLOUDS; REAL-WORLD; SLOPE ONES;

PLATFORM AS A SERVICE (PAAS);

EID: 84926426314     PISSN: None     EISSN: 2192113X     Source Type: Journal    
DOI: 10.1186/2192-113X-1-8     Document Type: Article

References (27)

1. Schafer JB, Konstan J, Riedi J: Recommender systems in e-commerce. In Proceedings of the 1st ACM conference on Electronic Commerce. New York: ACM Press; 1999: 158-166.
2. Basu A, Vaidya J, Kikuchi H, Dimitrakos T: Privacy-preserving collaborative filtering for the cloud. Proceedings of the 3rd IEEE International Conference on Cloud Computing Technology and Science (Cloudcom), Athens, Greece 2011.
3. Reed M, Syverson P, Goldschlag D: Anonymous connections and onion routing. Sel Areas Commun 1998, 16(4): 482-494.
4. Catalano D, Di Raimondo M, Fiore D, Gennaro R, Puglisi O: Fully non-interactive onion routing with forward-secrecy. In Proceedings of the 9th International conference on Applied cryptography and network security. ACNS'11. Nerja, Spain. Berlin, Heidelberg: Springer-Verlag; 2011: 255-273.
5. Dingledine R, Mathewson N, Syverson P: Tor: The second-generation onion router. In Proceedings of the 13th conference on USENIX Security Symposium-Volume 13. SSYM'04, San Diego, CA. Berkeley, CA, USA: USENIX Association; 2004: 21-21.
6. Clarke I, Sandberg O, Wiley B, Hong T: Freenet: A distributed anonymous information storage and retrieval system. In International workshop on Designing privacy enhancing technologies: design issues in anonymity and unobservability. New York, NY, USA: Springer-Verlag New York, Inc.; 2001: 46-66.
7. Furukawa J, Sako K: Mix-net system. 2010.
8. Danezis G: Mix-networks with restricted routes. In Proceedings of Privacy Enhancing Technologies workshop (PET 2003). Dresden, Germany: Springer-Verlag; 2003: 1-17.
9. Wakeman I, Chalmers D, Fry M: Reconciling privacy and security in pervasive computing: the case for pseudonymous group membership. In Proceedings of the 5th International workshop on Middleware for pervasive and ad-hoc computing: held at the ACM/IFIP/USENIX 8th International Middleware Conference. MPAC '07. Newport Beach, California. New York, NY, USA: ACM; 2007: 7-12.
10. Canny J: Collaborative filtering with privacy. In Proceedings of the 2002 IEEE Symposium on, Security and Privacy. SP '02. Oakland, CA, USA. Washington, DC, USA: IEEE Computer Society; 2002: 45-57.
11. 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, SIGIR '02. New York: ACM; 2002: 238-245. [http://doi. acm. org/10. 1145/564376. 564419].
12. Polat H, Du W: Privacy-preserving collaborative filtering using randomized perturbation techniques. Data Mining, 2003. ICDM 2003. Third IEEE International, Conference on 625-628. IEEE 2003.
13. Polat H, Du W: Privacy-preserving collaborative filtering on vertically partitioned data. Knowledge Discovery in Databases: PKDD 2005 2005, 651-658.
14. Polat H, Du W: SVD-based collaborative filtering with privacy. In Proceedings of the 20th ACM Symposium on Applied Computin.,; 2005.
15. Polat H, Du W: Achieving private recommendations using randomized response techniques. In Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining. PAKDD'06. Berlin, Heidelberg: Springer-Verlag; 2006. Singapore 637-646.
16. Berkovsky S, Eytani Y, Kuflik T, Ricci F: Enhancing privacy and preserving accuracy of a distributed collaborative filtering. In Proceedings of the 2007 ACM conference on, Recommender systems. RecSys '07. Minneapolis, MN, USA. New York, NY, USA: ACM; 2007: 9-16.
17. Tada M, Kikuchi H, Puntheeranurak S: Privacy-Preserving Collaborative Filtering Protocol Based on Similarity between Items. In Proceedings of the 2010 24th IEEE International, Conference on Advanced Information Networking and Applications. AINA '10. Perth, Australia. Washington, DC, USA: IEEE Computer Society; 2010: 573-578.
18. Cissée R, Albayrak S: An agent-based approach for privacy-preserving recommender systems. In Proceedings of the 6th international joint conference on autonomous agents and multiagent systems. AAMAS '07. Honolulu, Hawaii. New York, NY, USA: ACM; 2007: 1-8.
19. Ahmad W, Khokhar A: An Architecture for Privacy Preserving Collaborative Filtering on Web Portals. In Proceedings of the Third International Symposium on Information Assurance and Security. IAS '07. Manchester, UK. Washington, DC, USA: IEEE Computer Society; 2007: 273-278.
20. Kaleli C, Polat H: P2P collaborative filtering with privacy. Turkish J Electr Electrical Eng Comput Sci 2010, 8: 101-116.
21. Han S, Ng WK, Yu PS: Privacy-Preserving Singular Value Decomposition. In Proceedings of the 2009 IEEE International Conference on, Data Engineering. ICDE '09. Shanghai, China. Washington, DC, USA: IEEE Computer Society; 2009: 1267-1270.
22. Gong S: Privacy-preserving collaborative filtering based on randomized perturbation techniques and secure multiparty computation. IJACT: Int J Advancements Comput Technol 2011, 3(4): 89-99.
23. Basu A, Kikuchi H, Vaidya J: Privacy-preserving weighted Slope One predictor for Item-based Collaborative Filtering. Proceedings of the international workshop on Trust and Privacy in Distributed Information Processing (workshop at the IFIPTM 2011), Copenhagen, Denmark 2011.
24. Lemire D, Maclachlan A: Slope one predictors for online rating-based collaborative filtering. Soc Ind Mathematics 2005, 5: 471-480.
25. Paillier P: Public-key cryptosystems based on composite degree residuosity classes. In Proceedings of the 17th international conference on Theory and application of cryptographic techniques, Volume 1592, EUROCRYPT'99. Berlin, Heidelberg: Springer-Verlag; 1999: 223-238.
26. Dean J, Ghemawat S: MapReduce: Simplified data processing on large clusters. Commun ACM 2008, 51: 107-113.
27. Von Ahn L, Blum M, Hopper N, Langford J: CAPTCHA: Using hard AI problems for security. In Proceedings of the 22nd international conference on Theory and applications of cryptographic techniques. EUROCRYPT'03. Berlin, Heidelberg: Springer-Verlag; 2003: 294-311.