Novel Public-Key Encryption with Continuous Leakage Amplification

Author:

Qiao Zirui123,Yang Qiliang123,Zhou Yanwei12,Xia Zhe4,Zhang Mingwu23

Affiliation:

1. School of Computer Science, Shaanxi Normal University, Xi’an, Shaan Xi 710119, China

2. State Key Laboratory of Cryptology, P.O. Box 5159, Beijing 100878, China

3. Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic and Technology, Guilin, Guang Xi 541004, China

4. School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hu Bei 430070, China

Abstract

Abstract Leakage of private information, such as the secret keys, has become a threat to the security of computing systems. It has become a common requirement that cryptographic schemes should withstand various leakage attacks, including the continuous leakage attacks. Although some research progresses have been made toward this area, there are still some unsolved issues. In the literature, the public-key encryption (PKE) constructions with (continuous) leakage resilience normally require the upper bound of leakage to be fixed. However, in many real-world applications, this requirement cannot provide sufficient protection against leakage attacks. In order to mitigate these problems, this paper demonstrates how to design a leakage amplified PKE scheme with continuous leakage resilience and chosen-plaintext attacks security. In our proposed PKE scheme, the leakage parameter can have an arbitrary length. Moreover, the length of permitted leakage in our scheme can be flexibly adjusted according to the leakage requirements of application environment. Its security is formally proved under the classic static assumption.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

National Cryptography Development Foundation

Guangxi Natural Science Foundation

Research Funds of Guangxi Key Laboratory of Trusted Software

Fundamental Research Funds for the Central Universities

Publisher

Oxford University Press (OUP)

Subject

General Computer Science

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