Trustworthiness and CCCI metrics in P2P communication

Hussain, FK; Chang, E; Dillon, T

Trustworthiness and CCCI metrics in P2P communication

Hussain, FK

Chang, E Dillon, T

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Publication Type:: Journal Article
Citation:: Computer Systems Science and Engineering, 2004, 19 (3), pp. 173 - 190
Issue Date:: 2004-05-01

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Field	Value	Language
dc.contributor.author	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.contributor.author	Chang, E	en_US
dc.contributor.author	Dillon, T	en_US
dc.date.issued	2004-05-01	en_US
dc.identifier.citation	Computer Systems Science and Engineering, 2004, 19 (3), pp. 173 - 190	en_US
dc.identifier.issn	0267-6192	en_US
dc.identifier.uri	http://hdl.handle.net/10453/6138
dc.description.abstract	Trustworthiness in Peer-to-Peer (P2P) communication is a foundation for the success of e-Business. Numerous methods and techniques have been proposed to help establish trust between two communicating peers. These methods and techniques refer to trust models and trust management protocols [1-21]. They propose methods of assigning trustworthiness by gathering recommendations (reputation) from other peers. There is also no work done in the existing literature on how to assign a trustworthiness value to a peer in a real world situation. In this paper, we first define the concept of trustworthiness in the context of P2P communication. We then present seven levels of trustworthiness, their associated trustworthiness values and semantics. We describe our CCCI metrics that can be used by the trusting peer to assign a trustworthiness value to a trusted peer after an interaction (not though reputation). This is typically needed in P2P communication because the majority of P2P communication is anonymous. We also give a framework on how to use CCCI metrics to assign trustworthiness values in a real world situation and this is demonstrated with examples.	en_US
dc.relation.ispartof	Computer Systems Science and Engineering	en_US
dc.subject.classification	Information Systems	en_US
dc.title	Trustworthiness and CCCI metrics in P2P communication	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	19	en_US
utslib.for	0805 Distributed Computing	en_US
dc.location.activity	Salzburg, Austria
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	19	en_US

Abstract:

Trustworthiness in Peer-to-Peer (P2P) communication is a foundation for the success of e-Business. Numerous methods and techniques have been proposed to help establish trust between two communicating peers. These methods and techniques refer to trust models and trust management protocols [1-21]. They propose methods of assigning trustworthiness by gathering recommendations (reputation) from other peers. There is also no work done in the existing literature on how to assign a trustworthiness value to a peer in a real world situation. In this paper, we first define the concept of trustworthiness in the context of P2P communication. We then present seven levels of trustworthiness, their associated trustworthiness values and semantics. We describe our CCCI metrics that can be used by the trusting peer to assign a trustworthiness value to a trusted peer after an interaction (not though reputation). This is typically needed in P2P communication because the majority of P2P communication is anonymous. We also give a framework on how to use CCCI metrics to assign trustworthiness values in a real world situation and this is demonstrated with examples.

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http://hdl.handle.net/10453/6138