Secure and Privacy-Preserving Services based on Secure Multiparty Computation

Secure Multiparty Computation (SMC) is a promising foundation for the creation of secure and privacy-preserving services. In this thesis, we first identify a notion of privacy which is applicable to technological systems. We then conduct performance measurements to assess practical applicability of SMC. Lastly, on the basis of our previous insights, we design a fully privacy-preserving service for dynamic environments based on SMC.