Privacy protection against malicious adversaries in distributed information sharing systems

Nan Zhang; Wei Zhao

doi:10.1109/TKDE.2007.1069

Privacy protection against malicious adversaries in distributed information sharing systems

Nan Zhang
, Wei Zhao

College of Information Sciences and Technology

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

We address issues related to sharing information in a distributed system consisting of autonomous entities, each of which holds a private database. We consider threats from malicious adversaries that can deviate from the designated protocol and change their input databases. We classify malicious adversaries into two widely existing subclasses, namely, weakly and strongly malicious adversaries, and propose protocols that can effectively and efficiently protect privacy against malicious adversaries.

Original language	English (US)
Article number	4358935
Pages (from-to)	1028-1033
Number of pages	6
Journal	IEEE Transactions on Knowledge and Data Engineering
Volume	20
Issue number	8
DOIs	https://doi.org/10.1109/TKDE.2007.1069
State	Published - Aug 2008

All Science Journal Classification (ASJC) codes

Information Systems
Computer Science Applications
Computational Theory and Mathematics

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10.1109/TKDE.2007.1069

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title = "Privacy protection against malicious adversaries in distributed information sharing systems",

abstract = "We address issues related to sharing information in a distributed system consisting of autonomous entities, each of which holds a private database. We consider threats from malicious adversaries that can deviate from the designated protocol and change their input databases. We classify malicious adversaries into two widely existing subclasses, namely, weakly and strongly malicious adversaries, and propose protocols that can effectively and efficiently protect privacy against malicious adversaries.",

author = "Nan Zhang and Wei Zhao",

note = "Funding Information: This work was supported in part by the US National Science Foundation under Contracts 0081761, 0324988, and 0329181. Any opinions, findings, conclusions, and/or recommendations expressed in this material, either expressed or implied, are those of the authors and do not necessarily reflect the views of the sponsor listed above. Part of the results in this paper appears in the Proceedings of the International Conference on Very Large Data Bases (VLDB), pp. 889-900, 2005 [17].",

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AU - Zhao, Wei

N1 - Funding Information: This work was supported in part by the US National Science Foundation under Contracts 0081761, 0324988, and 0329181. Any opinions, findings, conclusions, and/or recommendations expressed in this material, either expressed or implied, are those of the authors and do not necessarily reflect the views of the sponsor listed above. Part of the results in this paper appears in the Proceedings of the International Conference on Very Large Data Bases (VLDB), pp. 889-900, 2005 [17].

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AB - We address issues related to sharing information in a distributed system consisting of autonomous entities, each of which holds a private database. We consider threats from malicious adversaries that can deviate from the designated protocol and change their input databases. We classify malicious adversaries into two widely existing subclasses, namely, weakly and strongly malicious adversaries, and propose protocols that can effectively and efficiently protect privacy against malicious adversaries.

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Privacy protection against malicious adversaries in distributed information sharing systems

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