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Optimistic fair exchange with strong resolution-ambiguity

Huang, Xinyi, Mu, Yi, Susilo, Willy, Wu, Wei and Xiang, Yang 2011, Optimistic fair exchange with strong resolution-ambiguity, IEEE journal on selected areas in communications, vol. 29, no. 7, pp. 1491-1502.

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Title Optimistic fair exchange with strong resolution-ambiguity
Author(s) Huang, Xinyi
Mu, Yi
Susilo, Willy
Wu, Wei
Xiang, Yang
Journal name IEEE journal on selected areas in communications
Volume number 29
Issue number 7
Start page 1491
End page 1502
Publisher IEEE
Place of publication Piscataway, N. J.
Publication date 2011-08
ISSN 0733-8716
1558-0008
Keyword(s) ambiguity
communication protocol
fair exchange
security
Summary Optimistic fair exchange (OFE) allows two parties to exchange their digital items in a fair way. As one of the fundamental problems in secure electronic business and digital rights management, OFE has been studied intensively since its introduction. This paper introduces and defines a new property for OFE: Strong Resolution-Ambiguity. We show that many existing OFE protocols have the new property, but its formal investigation has been missing in those protocols. We prove that in the certified-key model, an OFE protocol is secure in the multi-user setting if it is secure in the single-user setting and has the property of strong resolution-ambiguity. Our result not only simplifies the security analysis of OFE protocols in the multi-user setting but also provides a new approach for the design of multi-user secure OFE protocols. Following this approach, a new OFE protocol with strong resolution-ambiguity is proposed. Our analysis shows that the protocol is setup-free, stand-alone and multi-user secure without random oracles.
Language eng
Field of Research 080503 Networking and Communications
Socio Economic Objective 890201 Application Software Packages (excl. Computer Games)
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2011
Copyright notice ©2011, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30040610

Document type: Journal Article
Collection: School of Information Technology
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