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Article
Related-key secure key encapsulation from extended computational bilinear Diffie–Hellman
Information Sciences
  • Brandon QIN
  • Shengli LIU
  • Shifeng SUN
  • Robert H. DENG, Singapore Management University
  • Dawu GU
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
Identifier
10.1016/j.ins.2017.04.018
Publisher
Elsevier
Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Additional URL
https://doi.org/10.1016/j.ins.2017.04.018
Citation Information
Brandon QIN, Shengli LIU, Shifeng SUN, Robert H. DENG, et al.. "Related-key secure key encapsulation from extended computational bilinear Diffie–Hellman" Information Sciences Vol. 406-407 (2017) p. 1 - 11 ISSN: 0020-0255
Available at: http://works.bepress.com/robert-deng/282/