Data mining and cryptology

Authors:
E. C. Laskari;G. C. Meletiou;D. K. Tasoulis;M. N. Vrahatis
Affiliations:
Department of Mathematics, University of Patras, GR-26110 Patras, Greece and University of Patras Artificial Intelligence Research Center (UPAIRC), University of Patras, Greece;A.T.E.I. of Epirus, P.O. Box 110, GR-47100 Arta, Greece and University of Patras Artificial Intelligence Research Center (UPAIRC), University of Patras, Greece;Department of Mathematics, University of Patras, GR-26110 Patras, Greece and University of Patras Artificial Intelligence Research Center (UPAIRC), University of Patras, Greece;Department of Mathematics, University of Patras, GR-26110 Patras, Greece and University of Patras Artificial Intelligence Research Center (UPAIRC), University of Patras, Greece
Venue:
ICCMSE '03 Proceedings of the international conference on Computational methods in sciences and engineering
Year:
2003

Citing 4
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Abstract

This paper addresses the issue of mining encrypted data, in order to protect confidential information while permitting knowledge discovery. Common cryptographic algorithms are considered and their robustness against data mining algorithms is evaluated. Having identified robust cryptosystems, data are encrypted and well-known data mining techniques are applied on the encrypted data to produce classification rules which are then compared with those obtained from the initial nonencrypted databases.