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Mining inconsistent secure messages toward analyzing security protocols

Zhang, Chengqi, Chen, Yi-Ping Phoebe, Zhang, Shichao and Chen, Qingfeng 2005, Mining inconsistent secure messages toward analyzing security protocols, International journal of intelligent control and systems, vol. 10, no. 1, pp. 77-85.

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Title Mining inconsistent secure messages toward analyzing security protocols
Author(s) Zhang, Chengqi
Chen, Yi-Ping Phoebe
Zhang, Shichao
Chen, Qingfeng
Journal name International journal of intelligent control and systems
Volume number 10
Issue number 1
Start page 77
End page 85
Publisher World Scientific Publishing Co. Pte. Ltd.
Place of publication Singapore
Publication date 2005
ISSN 0218-7965
Keyword(s) security protocol
association rule mining
secure message
Summary Traditional approaches such as theorem proving and model checking have been successfully used to analyze security protocols. Ideally, they assume the data communication is reliable and require the user to predetermine authentication goals. However, missing and inconsistent data have been greatly ignored, and the increasingly complicated security protocol makes it difficult to predefine such goals. This paper presents a novel approach to analyze security protocols using association rule mining. It is able to not only validate the reliability of transactions but also discover potential correlations between secure messages. The algorithm and experiment demonstrate that our approaches are useful and promising.
Language eng
Field of Research 080604 Database Management
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2005, IJICS
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Document type: Journal Article
Collection: School of Information Technology
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