Using secure multiparty computation for collaborative information exchange
Abstract
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.
