A secure distributed framework for achieving k-anonymity
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s00778-006-0008-z.pdf
Reference37 articles.
1. Agrawal, R., Evfimievski, A., Srikant, R.: Information sharing across private databases. In: Proceedings of ACM SIGMOD international conference on Management of Data. San Diego, California, 9–12 June 2003. http://doi.acm.org/10.1145/872757.872771
2. Agrawal, R., Srikant, R.: Privacy-preserving data mining. In: Proceedings of the 2000 ACM SIGMOD Conference on Management of Data. pp. 439–450. ACM Dallas, TX, 14–19 May 2000, http://doi.acm.org/10.1145/342009.335438
3. Bayardo, R.J., Agrawal, R.: Data privacy through optimal k-anonymization. In: Proceedings of the IEEE International Conference on Data Engineering. Tokyo, Japan, 5–8 2005 April
4. Benaloh, J.C.: Secret sharing homomorphisms: Keeping shares of a secret. In: Advances in Cryptography, CRYPTO86: Proceedings, Odlyzko, A. (ed.) vol. 263. pp. 251–260. Springer-Verlag, Lecture Notes in Computer Science, 1986, http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=263&spage=251
5. Blake, C., Merz, C.: UCI repository of machine learning databases. 1998. http://www.ics.uci.edu/~mlearn/ MLRepository.html
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