University of Wollongong
Browse

Anonymous signcryption against linear related-key attacks

Download (361.53 kB)
journal contribution
posted on 2024-11-15, 08:00 authored by Hui Cui, Yi Mu, Man Ho Allen Au
A related-key attack (RKA) occurs when an adversary tampers the private key stored in a cryptographic hardware device and observes the result of the cryptographic primitive under this modified private key. In this paper, we concentrate on the security of anonymous signcryption schemes under related-key attacks, in the sense that a signcryption system should contain no information that identifies the sender of the signcryption and the receiver of the message, and yet be decipherable by the targeted receiver. To achieve this, we consider our anonymous signcryption scheme being semantically secure against chosen ciphertext and related-key attacks (CC-RKA), existentially unforgeable against chosen message and related-key attacks (CM-RKA), and anonymous against chosen ciphertext and related-key attacks (ANON-RKA). Specifically, we require that an anonymous signcryption scheme remains secure even when an adversary is allowed to access the signcryption oracle and the designcryption oracle on linear shifts of the private keys of the sender and the receiver, respectively. After reviewing some basic definitions related to our construction, based on the existing work on cryptographic primitives in the setting of related-key attacks, we give a concrete anonymous signcryption scheme from BDH which achieves CC-RKA security, CM-RKA security, ANON-RKA security in the random oracle model.

History

Citation

Cui, H., Mu, Y. & Au, M. (2013). Anonymous signcryption against linear related-key attacks. Lecture Notes in Computer Science, 8209 165-183.

Journal title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

8209 LNCS

Pagination

165-183

Language

English

RIS ID

86103

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC