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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/17730

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Title
Analysing stream authentication protocols in autonomous agent-based systems
Related
2nd IEEE International symposium on dependable autonomic and secure computing (DASC 2006) (September 29 - October 1, 2006 : Indianapolis, IN)
Related
Proceedings of the 2nd IEEE International symposium on dependable autonomic and secure computing (DASC 2006)
DOI
10.1109/DASC.2006.19
Publisher
United States : IEEE Computer Society
Date
2006
Author/Creator
Orgun, Mehmet A
Author/Creator
Ma, Ji
Author/Creator
Liu, Chuchang
Author/Creator
Governatori, Guido
Description
In stream authentication protocols used for large-scale data dissemination in autonomous systems, authentication is based on the timing of the publication of keys, and depends on trust of the receiver in the sender and belief on whether an intruder can have prior knowledge of a key before it is published by a protocol. Many existing logics and approaches have successfully been applied to specify other types of authentication protocols, but most of them are not appropriate for analysing stream authentication protocols. We therefore consider a fibred modal logic that combines a belief logic with a linear-time temporal logic which can be used to analyse time-varying aspects of certain problems. With this logical system one is able to build theories of trust for analysing stream authentication protocols, which can deal with not only agent beliefs but also the timing properties of an autonomous agent-based system.
Description
8 page(s)
Subject Keyword
formal logic
Subject Keyword
multi-agent systems
Subject Keyword
security of data
Resource Type
conference paper
Organisation
Macquarie University. Dept. of Computing

Identifier
http://hdl.handle.net/1959.14/17730
Identifier
ISBN:0769525393
Identifier
mq-rm-2006002836
Language
eng
Rights
Copyright 2006 IEEE. Reprinted from Proceedings of the 2nd IEEE International symposium on dependable autonomic and secure computing (DASC 2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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Liu, Chuchang
Ma, Ji
Orgun, Mehmet A

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