Zaphod: Efficiently Combining LSSS and Garbled Circuits in SCALE

Abstract

We present modifications to the MPC system SCALE-MAMBA to enable the evaluation of garbled circuit (GC) based MPC functionalities and Linear Secret Sharing (LSSS) based MPC functionalities along side each other. This allows the user to switch between different MPC paradigms to achieve the best performance. To do this we present modifications to the GC-based MPC protocol of Hazay et al. (Asiacrypt 2017) (to enable it to support reactive computation), and combine different aspects of their pre-processing phase with those of Wang et al. (CCS 2017), in order to optimize our pre-processing protocols. We also give a more efficient method for producing daBits (double authenticated Bits) than that presented in the work of Rotaru and Wood (ePrint 2019). Finally, we examine how the functionality can be integrated within the existing MPC framework SCALE-MAMBA.