A trust-aware framework for service selection and service quality review in e-business ecosystems

Schmidt, S

A trust-aware framework for service selection and service quality review in e-business ecosystems

Schmidt, S

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Publication Type:: Thesis
Issue Date:: 2008

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Field	Value	Language
dc.contributor.author	Schmidt, S
dc.date.accessioned	2015-11-08T23:12:34Z
dc.date.available	2015-11-08T23:12:34Z
dc.date.issued	2008
dc.identifier.uri	http://hdl.handle.net/10453/37705
dc.description	University of Technology, Sydney. Faculty of Information Technology.	en_AU
dc.description.abstract	As e-Business has moved from a niche market to a decisive contributor for the success of most companies, some issues need to be solved in order to assist the continued success of e-Business. The challenge, to deploy fully autonomous business service agents which undertake transactions on behalf of their owners, often fails due to lack of trust in the agent and its decisions. Four aspects can overcome this challenge. Firstly, intelligent agents need to be equipped with self-adjusting reputation, trustworthiness and credibility evaluation mechanisms to assess the trustworthiness of potential counterparts prior to a business transaction. Secondly, such evaluation mechanisms must be transparent and easy to comprehend so agent owners develop trust in their agents’ decisions. Thirdly, the calculations of an agent must be highly customisable so that the agent owner can apply his personal experiences and security requirements to govern the decision making process of the intelligent agent. And finally, agents must communicate via standardised and open protocols in order to facilitate interaction between services deployed across different architectures and technologies. This thesis proposes the DEco Arch framework which integrates behavioural trust element relationships into various decision making processes found in e-Business ecosystems. We apply fuzzy-logic based soft computing techniques to increase user confidence and therefore enhance the adoption of the proposed assessment and review methodologies. A proof-of-concept implementation of the DEco Arch framework has been developed to showcase the proposed concepts in a case study and to conduct empirical experiments to evaluate the robustness and practicability of the proposed methodologies.	en_AU
dc.format	Thesis (PhD)
dc.language.iso	en	en_AU
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/37705/9/02Whole.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	au.edu.uts.lib/ppc
dc.subject	E-business.	en
dc.subject	E-business ecosystems.	en
dc.subject	Service quality review.	en
dc.subject	Trustworthiness.	en
dc.subject	DEco Arch framework.	en
dc.subject	Fuzzy-logic based soft computing technique.	en
dc.title	A trust-aware framework for service selection and service quality review in e-business ecosystems	en_AU
dc.type	Thesis	en_AU
utslib.copyright.status	open_access	en_AU

Abstract:

As e-Business has moved from a niche market to a decisive contributor for the success of most companies, some issues need to be solved in order to assist the continued success of e-Business. The challenge, to deploy fully autonomous business service agents which undertake transactions on behalf of their owners, often fails due to lack of trust in the agent and its decisions. Four aspects can overcome this challenge. Firstly, intelligent agents need to be equipped with self-adjusting reputation, trustworthiness and credibility evaluation mechanisms to assess the trustworthiness of potential counterparts prior to a business transaction. Secondly, such evaluation mechanisms must be transparent and easy to comprehend so agent owners develop trust in their agents’ decisions. Thirdly, the calculations of an agent must be highly customisable so that the agent owner can apply his personal experiences and security requirements to govern the decision making process of the intelligent agent. And finally, agents must communicate via standardised and open protocols in order to facilitate interaction between services deployed across different architectures and technologies. This thesis proposes the DEco Arch framework which integrates behavioural trust element relationships into various decision making processes found in e-Business ecosystems. We apply fuzzy-logic based soft computing techniques to increase user confidence and therefore enhance the adoption of the proposed assessment and review methodologies. A proof-of-concept implementation of the DEco Arch framework has been developed to showcase the proposed concepts in a case study and to conduct empirical experiments to evaluate the robustness and practicability of the proposed methodologies.

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http://hdl.handle.net/10453/37705