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Personalized search using identity-based hashing
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Conference on Computer and Communications Security archive
Proceedings of the 4th ACM workshop on Digital identity management table of contents
Alexandria, Virginia, USA
SESSION: Novel services table of contents
Pages 71-80  
Year of Publication: 2008
ISBN:978-1-60558-294-8
Author
Kei Karasawa  Nippon Telegraph and Telephone Corporation, Tokyo, Japan
Sponsors
SIGSAC: ACM Special Interest Group on Security, Audit, and Control
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper presents a method to retrieve shared information on tagging systems more easily using ordinary search engines. This paper focuses on sharing multimedia data, such as photos and videos, and describes a method of personalized searches with privacy protection by using an identity-based hashing function. Secure implementation and seamless integration into current search services, without any changes, are also described. That is, this method can be used in the current computing environment. Evaluations showed that the additional storage requirement is only 10% and that the system responds in 10 seconds with 1000 dummy results for anonymization.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
S. Golder and B. A. Huberman, "The Structure of Collaborative Tagging Systems", http://www.citebase.org/cgibin/citations?id=oai:arXiv.org:cs/0508082, 2005.
 
2
T. Hammond, T. Hannay, B. Lund, and J. Scott, "Social Bookmarking Tools (I)", http://www.dlib.org/dlib/april05/hammond/04hammond.html, April 2005.
 
3
G. Begelman, P. Keller, and F. Smadja, "Automated Tag Clustering: Improving search and exploration in the tag space", Collaborative Web Tagging Workshop, WWW2006.
 
4
A. Broder and M. Mitzenmacher, "Network Applications of Bloom Filters: A Survey", Internet Math. 1, No. 4, pp.485--509, 2003.
 
5
S. M. Bellovin and W. R. Cheswick, "Privacy-enhanced searches using encrypted Bloom filters", Draft, 2004. http://www.research.att.com/~smb/papers/bloom-encrypt.ps
 
6
E.-J. Goh, "Secure indexes", in Cryptology ePrint Archive: Report 2003/216, February, 2004.
 
7
 
8
D. Boneh, G. D. Crescenzo, R. Ostrovsky, and G. Persiano, "Public-key encryption with keyword search", In C. Cachin, editor, Proceedings of Eurocrypt 2004.
 
9
D. Boneh and B. Waters, "Collusion resistant broadcast encryption with short ciphertexts and private keys", In Proceedings of Crypto 2005.
 
10
R. Ostrovsky and W. E. Skeith III, "Private searching on streaming data", In Victor Shoup, editor, CRYPTO, volume 3621 of Lecture Notes in Computer Science, pp.223--240, Springer, 2005.
 
11
J. Baek, R. Safiavi-Naini, and W. Susilo, "Public Key Encryption with Keyword Search Revisited", Available on Cryptology ePrint Archive, Report 2005/119.
 
12
 
13
A. Barth, D. Boneh, and B. Waters, "Private Encrypted Content Distribution Using Private Broadcast Encryption", In Proceedings of the 10th Financial Cryptography and Data Security Conference. Springer-Verlag, 2006.
 
14
G. Jeh and J. Widom, "Scaling personalized web search", Stanford University Technical Report, 2002.
15
 
16
 
17
E. Michlmayr, "A Case Study on Emergent Semantics in Communities", ISWC2005, November 2005.
18
19
20
21
22
 
23
W. Gasarch, "A Survey on Private Information Retrieval", The Bulletin of the EATCS, Vol. 82, pp.72--107, 2004.
 
24
Greasemonkey, http://greasemonkey.mozdev.org/