CryptoDB
Promise Zero Knowledge and Its Applications to Round Optimal MPC
Authors: | |
---|---|
Download: |
|
Conference: | CRYPTO 2018 |
Abstract: | We devise a new partitioned simulation technique for MPC where the simulator uses different strategies for simulating the view of aborting adversaries and non-aborting adversaries. The protagonist of this technique is a new notion of promise zero knowledge (ZK) where the ZK property only holds against non-aborting verifiers. We show how to realize promise ZK in three rounds in the simultaneous-message model assuming polynomially hard DDH (or QR or N$$^{th}$$-Residuosity).We demonstrate the following applications of our new technique:We construct the first round-optimal (i.e., four round) MPC protocol for general functions based on polynomially hard DDH (or QR or N$$^{th}$$-Residuosity).We further show how to overcome the four-round barrier for MPC by constructing a three-round protocol for “list coin-tossing” – a slight relaxation of coin-tossing that suffices for most conceivable applications – based on polynomially hard DDH (or QR or N$$^{th}$$-Residuosity). This result generalizes to randomized input-less functionalities. Previously, four round MPC protocols required sub-exponential-time hardness assumptions and no multi-party three-round protocols were known for any relaxed security notions with polynomial-time simulation against malicious adversaries.In order to base security on polynomial-time standard assumptions, we also rely upon a leveled rewinding security technique that can be viewed as a polynomial-time alternative to leveled complexity leveraging for achieving “non-malleability” across different primitives. |
Video from CRYPTO 2018
BibTeX
@inproceedings{crypto-2018-28821, title={Promise Zero Knowledge and Its Applications to Round Optimal MPC}, booktitle={Advances in Cryptology – CRYPTO 2018}, series={Lecture Notes in Computer Science}, publisher={Springer}, volume={10992}, pages={459-487}, doi={10.1007/978-3-319-96881-0_16}, author={Saikrishna Badrinarayanan and Vipul Goyal and Abhishek Jain and Yael Tauman Kalai and Dakshita Khurana and Amit Sahai}, year=2018 }