2004 kTTP

• (Gilburd et al., 2004) ⇒ Bobi Gilburd, Assaf Schuster, Ran Wolff. (2004). “k-TTP: A new privacy model for large-scale distributed environments.” In: Proceedings of the tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004). doi:10.1145/1014052.1014120.

Subject Headings:

Quotes

Abstract

• Secure multiparty computation allows parties to jointly compute a function of their private inputs without revealing anything but the output. Theoretical results [2] provide a general construction of such protocols for any function. Protocols obtained in this way are, however, inefficient, and thus, practically speaking, useless when a large number of participants are involved. The contribution of this paper is to define a new privacy model -- k-privacy -- by means of an innovative, yet natural generalization of the accepted trusted third party model. This allows implementing cryptographically secure efficient primitives for real-world large-scale distributed systems. As an example for the usefulness of the proposed model, we employ k-privacy to introduce a technique for obtaining knowledge -- by way of an association-rule mining algorithm -- from large-scale Data Grids, while ensuring that the privacy is cryptographically secure.

---

,

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2004 kTTP	Bobi Gilburd Assaf Schuster Ran Wolff			k-TTP: A new privacy model for large-scale distributed environments			http://www.cs.technion.ac.il/~ranw/papers/wolff04kdd.pdf	10.1145/1014052.1014120