Publication Type
Journal Article
Version
publishedVersion
Publication Date
4-2017
Abstract
As a special type of fault injection attacks, Related-Key Attacks (RKAs) allow an adversary to manipulate a cryptographic key and subsequently observe the outcomes of the cryptographic scheme under these modified keys. In the real life, related-key attacks are already practical enough to be implemented on cryptographic devices. To avoid cryptographic devices suffering from related-key attacks, it is necessary to design a cryptographic scheme that resists against such attacks. This paper proposes an efficient RKA-secure Key Encapsulation Mechanism (KEM), in which the adversary can modify the secret key sk to any value f(sk), as long as, f is a polynomial function of a bounded degree d. Especially, the polynomial-RKA security can be reduced to a hard search problem, namely d-extended computational Bilinear Diffie-Hellman (BDH) problem, in the standard model. Our construction essentially refines the security of Haralambiev et al.’s BDH-based KEM scheme from chosen-ciphertext security to related-key security. The main technique applied in our scheme is the re-computation of the public key in the decryption algorithm so that any (non-trivial) modification to the secret key can be detected.
Keywords
Key-encapsulation mechanism, Related-key attacks, BDH
Discipline
Hardware Systems | Software Engineering
Research Areas
Cybersecurity
Publication
Information Sciences
Volume
406-407
First Page
1
Last Page
11
ISSN
0020-0255
Identifier
10.1016/j.ins.2017.04.018
Publisher
Elsevier
Citation
QIN, Brandon; LIU, Shengli; SUN, Shifeng; DENG, Robert H.; and GU, Dawu.
Related-key secure key encapsulation from extended computational bilinear Diffie–Hellman. (2017). Information Sciences. 406-407, 1-11.
Available at: https://ink.library.smu.edu.sg/sis_research/3678
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.ins.2017.04.018