Using Secure Multiparty Computation for Collaborative Information Exchange

被引:1
|
作者
Titze, Dennis [1 ]
Hofinger, Hans [1 ]
Schoo, Peter [1 ]
机构
[1] Fraunhofer Res Inst Appl & Integrated Secur AISEC, Garching, Germany
关键词
Anonymity; privacy; secure multiparty computation; collaborative information exchange;
D O I
10.1109/TrustCom.2013.214
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we describe an extension of the Secure Multiparty Computation (MPC) library SEPIA that allows mutual information exchange and distribution of warnings among a group of participating peers within an Information Sharing Network. This extension has been implemented and can be used to communicate security incident related data in an anonymous and privacy-preserving manner within IT early warning systems. More concrete: it allows for anonymous distribution of arbitrary binary input data to participating peers. It hence addresses several obstacles, e. g., concerning reputation loss, that are nowadays reasons for a reluctant attitude regarding information sharing across different administrative domains.
引用
收藏
页码:1717 / 1722
页数:6
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