The (Im)Possibility on Constructing Verifiable Random Functions

Author:

Cao Shujiao1,Xue Rui2

Affiliation:

1. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China

2. School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

Abstract In this paper, we further explore the properties of the verifiable random functions in both a black-box and a non-black-box manner. The results are mainly following two parts: $\bullet $  Black-Box Barrier: It is set up for an impossibility result of black-box reduction from verifiable random functions to injective one-way functions and indistinguishability obfuscators, where the verifiable random functions are suggested to be domain-invariant (i.e. the support of the distribution of keys and the domain of the evaluation space are independent of the underlying building blocks). Our result illustrates how the non-domain-invariant constructions circumvent the black-box barriers for constructing verifiable random functions and sheds light on why it is so difficult to give a domain-invariant instantiation. $\bullet $  Non-Black-Box Construction: On the other hand, the verifiable unpredictable functions are constructed from a given primitive by a non-black-box technique called the hitting-set generator. To show it's a somewhat useful technique for constructing the verifiable unpredictable functions, we further derive a limitation of the black-box barrier by proving the barrier still holds between the given primitive and verifiable unpredictable functions. Our results not only analyse the properties of verifiable random functions theoretically, but also reveal the limitation of indistinguishability obfuscators in a black-box manner, and show the advantages by adopting non-black-box techniques.

Funder

National Natural Science Foundation of China

Beijing Municipal Science and Technology Commission

National Key Research and Development Program of China

Publisher

Oxford University Press (OUP)

Subject

General Computer Science

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4. Verifiable random functions from identity-based key encapsulation;Abdalla,2009

5. Constructing verifiable random functions with large input spaces;Hohenberger,2010

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