Updatable Lossy Trapdoor Functions Under Consecutive Leakage

Author:

Huang Meijuan123,Yang Bo13,Zhang Mingwu4,Zhang Lina1,Hou Hongxia1

Affiliation:

1. School of Computer Science, Shaanxi Normal University, Xi’an, China

2. School of Mathematics and Information Science, Baoji University of Arts and Sciences, Baoji, China

3. State Key Laboratory of Information Security (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China)

4. School of Computers, Hubei University of Technology, Wuhan, China

Abstract

Abstract Lossy trapdoor functions (LTFs), introduced by Peikert and Waters (STOC’08), have already been found to be a very useful tool in constructing complex cryptographic primitives in a black-box manner, such as one-way trapdoor functions, deterministic public-key encryption, CCA-secure public-key encryption, etc. Due to the existence of the side-channel attack, the leakage of trapdoor information in lossy trapdoor function systems can lead to the impossibility of provable security. Recently, Zhang et al. introduced a model of consecutive and continual leakage-resilient and updatable lossy trapdoor functions (ULTFs) and provided a concrete construction to achieve the security. Meanwhile, they proposed a consecutive and continual leakage-resilient public-key encryption scheme. However, in this paper, we demonstrate that the correctness of injective function can not be satisfied. Furthermore, the attacker can easily distinguish the evaluation key of ULTFs generated by the challenger according to the security model. Finally, we show two new constructions based on the continual leakage-resilient public-key encryption scheme of Brakerski et al. (FOCS 2010) and demonstrate the security of our scheme in the consecutive and continual leakage model.

Funder

National Key R and D Program of China

National Natural Science Foundation of China

National Cryptography Development Fund

Foundation of State Key Laboratory of Information Security

Fundamental Research Funds for the Central Universities

Natural Science Basic Research

Project of Science and Technology

Baoji University of Arts and Sciences

Publisher

Oxford University Press (OUP)

Subject

General Computer Science

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