Applying the Trustworthy Remote Entity to Privacy-Preserving Multiparty Computation: Requirements and Criteria for Large-Scale Applications

The significant improvements in technology that have been seen in recent years have resulted in a shift in the computing paradigm: from isolated computational tasks to distributed tasks executed in multi-party settings. Secure Multi-Party Computation (MPC) allows for multiple parties to jointly compute a function on their private inputs. Unfortunately, traditional MPC algorithms are inefficient in the presence of a large number of participants. Moreover, in the traditional setting, MPC is only concerned with privacy of the input values. However, there is often a need to preserve the privacy of individuals on the basis of the output of the computation. Techniques proposed by the Trusted Computing community have shown promise in the context of new secure, efficient large-scale applications. In this paper, we define, analyse several use cases related to large-scale applications of the MPC paradigm. From these use cases, we derive requirements, criteria to evaluate certain MPC protocols used for large-scale applications. Furthermore, we propose the utilisation of a Trustworthy Remote Entity, privacy-preserving algorithms to achieve confidentiality, privacy in such settings.