Bayesian fusion algorithm for inferring trust in wireless sensor networks

Momani, M; Challa, S; Alhmouz, R

Bayesian fusion algorithm for inferring trust in wireless sensor networks

Momani, M Challa, S Alhmouz, R

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Publication Type:: Journal Article
Citation:: Journal of Networks, 2010, 5 (7), pp. 815 - 822
Issue Date:: 2010-01-01

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Field	Value	Language
dc.contributor.author	Momani, M	en_US
dc.contributor.author	Challa, S	en_US
dc.contributor.author	Alhmouz, R	en_US
dc.date.issued	2010-01-01	en_US
dc.identifier.citation	Journal of Networks, 2010, 5 (7), pp. 815 - 822	en_US
dc.identifier.issn	1796-2056	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15297
dc.description.abstract	This paper introduces a new Bayesian fusion algorithm to combine more than one trust component (data trust and communication trust) to infer the overall trust between nodes. This research work proposes that one trust component is not enough when deciding on whether or not to trust a specific node in a wireless sensor network. This paper discusses and analyses the results from the communication trust component (binary) and the data trust component (continuous) and proves that either component by itself, can mislead the network and eventually cause a total breakdown of the network. As a result of this, new algorithms are needed to combine more than one trust component to infer the overall trust. The proposed algorithm is simple and generic as it allows trust components to be added and deleted easily. Simulation results demonstrate that a node is highly trustworthy provided that both trust components simultaneously confirm its trustworthiness and conversely, a node is highly untrustworthy if its untrustworthiness is asserted by both components. © 2010 ACADEMY PUBLISHER.	en_US
dc.relation.ispartof	Journal of Networks	en_US
dc.relation.isbasedon	10.4304/jnw.5.7.815-822	en_US
dc.title	Bayesian fusion algorithm for inferring trust in wireless sensor networks	en_US
dc.type	Journal Article
utslib.citation.volume	7	en_US
utslib.citation.volume	5	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
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 Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access
pubs.issue	7	en_US
pubs.publication-status	Published	en_US
pubs.volume	5	en_US

Abstract:

This paper introduces a new Bayesian fusion algorithm to combine more than one trust component (data trust and communication trust) to infer the overall trust between nodes. This research work proposes that one trust component is not enough when deciding on whether or not to trust a specific node in a wireless sensor network. This paper discusses and analyses the results from the communication trust component (binary) and the data trust component (continuous) and proves that either component by itself, can mislead the network and eventually cause a total breakdown of the network. As a result of this, new algorithms are needed to combine more than one trust component to infer the overall trust. The proposed algorithm is simple and generic as it allows trust components to be added and deleted easily. Simulation results demonstrate that a node is highly trustworthy provided that both trust components simultaneously confirm its trustworthiness and conversely, a node is highly untrustworthy if its untrustworthiness is asserted by both components. © 2010 ACADEMY PUBLISHER.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/15297