TY - GEN
T1 - Distributed privacy preserving information sharing
AU - Zhang, Nan
AU - Zhao, Wei
PY - 2005/12/1
Y1 - 2005/12/1
N2 - In this paper, we address issues related to sharing information in a distributed system consisting of autonomous entities, each of which holds a private database. Semi-honest behavior has been widely adopted as the model for adversarial threats. However, it substantially underestimates the capability of adversaries in reality. In this paper, we consider a threat space containing more powerful adversaries that includes not only semi-honest but also those malicious adversaries. In particular, we classify malicious adversaries into two widely existing subclasses, called weakly malicious and strongly malicious adversaries, respectively. We define a measure of privacy leakage for information sharing systems and propose protocols that can effectively and efficiently protect privacy against different kinds of malicious adversaries.
AB - In this paper, we address issues related to sharing information in a distributed system consisting of autonomous entities, each of which holds a private database. Semi-honest behavior has been widely adopted as the model for adversarial threats. However, it substantially underestimates the capability of adversaries in reality. In this paper, we consider a threat space containing more powerful adversaries that includes not only semi-honest but also those malicious adversaries. In particular, we classify malicious adversaries into two widely existing subclasses, called weakly malicious and strongly malicious adversaries, respectively. We define a measure of privacy leakage for information sharing systems and propose protocols that can effectively and efficiently protect privacy against different kinds of malicious adversaries.
UR - http://www.scopus.com/inward/record.url?scp=33745599368&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745599368&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33745599368
SN - 1595931546
SN - 9781595931542
T3 - VLDB 2005 - Proceedings of 31st International Conference on Very Large Data Bases
SP - 889
EP - 900
BT - VLDB 2005 - Proceedings of 31st International Conference on Very Large Data Bases
T2 - VLDB 2005 - 31st International Conference on Very Large Data Bases
Y2 - 30 August 2005 through 2 September 2005
ER -