University of Wollongong
Browse

Escrowed deniable identification schemes

Download (311.76 kB)
journal contribution
posted on 2024-11-15, 10:16 authored by Pairat Thorncharoensri, Qiong Huang, Willy SusiloWilly Susilo, Man Ho Allen Au, Yi Mu, Duncan Wong
Generally, the goal of identification schemes is to provide security assurance against impersonation attacks. Identification schemes based on zero knowledge protocols have more advantages, for example, deniability, which enables the prover to deny an identification proof so that the verifier couldn’t persuade others that it is indeed the prover who identified itself to him. This kind of identifications is called ‘deniable identification’. However, in some applications we require the existence of a (trusted) party being able to find out an evidence that a party did identify itself to a verifier is required, in order to prevent parties from misbehavior. So in this case ‘undeniability’ is needed. To the best of our knowledge, an identification scheme that provides both deniability and undeniability does not exist in the literature. In this work we propose the notion of escrowed deniable identification schemes, which integrates both ‘escrowed deniability’ (undeniability) and ‘deniability’ properties. Intuitively, in the online communication, a verifier may sometimes need to provide an evidence of a conversation between himself and the prover, for instance, an evidence for the case of misuse of the prover’s privilege. We then provide an escrowed deniable identification scheme, and prove its security, i.e. impersonation, deniability and escrowed deniability, in the standard model based on some standard number theoretic assumptions.

History

Citation

Thorncharoensri, P., Huang, Q., Susilo, W., Au, M. Ho., Mu, Y. & Wong, D. (2010). Escrowed deniable identification schemes. International Journal of Security and Its Applications, 4 (1), 49-67.

Journal title

Communications in Computer and Information Science

Volume

58

Pagination

234-241

Language

English

RIS ID

35756

Usage metrics

    Categories

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC