TY - JOUR
T1 - Privacy protection against malicious adversaries in distributed information sharing systems
AU - Zhang, Nan
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].
PY - 2008/8
Y1 - 2008/8
N2 - 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.
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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U2 - 10.1109/TKDE.2007.1069
DO - 10.1109/TKDE.2007.1069
M3 - Article
AN - SCOPUS:46649084636
SN - 1041-4347
VL - 20
SP - 1028
EP - 1033
JO - IEEE Transactions on Knowledge and Data Engineering
JF - IEEE Transactions on Knowledge and Data Engineering
IS - 8
M1 - 4358935
ER -