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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.

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