Dr. Vaidya's work is at the confluence of data mining, databases and privacy/security. He is particularly interested in Security and Privacy issues raised by data mining -- the area of Privacy preserving data mining; Data Mining techniques applied to interoperation of heterogeneous information sources; and the use of data mining for enhancing security. In general, he also has broad interests in applied cryptography and general Secure Multi-Party Computation techniques including RFID security, privacy preserving optimization and secure supply chain management. The fundamental challenge here is to enable the secure computation of the interesting function without a significant loss in efficiency. Other research interests include novel applications of data mining and databases such as role engineering, spatio-temporal data mining, mining of environmental data and environmental data warehousing.

Dr. Vaidya has a Ph.D. and Masters degree in Computer Science from Purdue University, and a Bachelor's degree in Computer Engineering from the University of Mumbai.

Selected Publications

Secure Set Intersection Cardinality with Application to Association Rule Mining. Jaideep Vaidya and Chris Clifton, Journal of Computer Security, 13(4), IOS Press, November 2005, pp. 593 - 622. (Bib).