Reputation of Communities of Web Services - Preliminary Investigation

Abstract-Existing approaches on Web services privacy dominate solutions from a users' perspective, giving little consideration to the preferences of Web service providers. The integration of service providers' preferences into Web services' operations is discussed in this paper. A Web service provider indicates peer Web services that it could interact with as well as the data that they could exchange with. We focus on Privacy and (trust) Partnership preferences based on which, we develop a Specification for Privacy and Partnership Preferences (S3P). This specification suggests a list of exceptional actions to deploy at run-time when these preferences are not met. An integration model of these preferences into Web services design is illustrated throughout a running scenario, and an implementation framework proves the S3P concept.

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“…• Data-destination argument: a Web service sets a list of peers for which it forwards data without checking their "credentials" [7,11].…”

Section: A Preference Argumentsmentioning

confidence: 99%

Towards an Approach for Weaving Preferences into Web Services Operation

Maamar

Sheng

Atif

et al. 2012

JSW

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“…The ranking algorithm would maintain a restrictive policy, avoiding the ranking violation, which could be done by some malicious CWSs. The violation, which has not been considered in (Elnaffar, Maamar et al 2008) could be done by providing some fake logging data (by some colluding users) that reflect positive feedback in support of the CWS, or by fake negative data that is registered against a particular community. To deal with this violation, we propose to assign a controller agent Cg .…”

Section: Architecture Of Reputation-embedded Web Service Communitiesmentioning

confidence: 99%

“…In (Elnaffar, Maamar et al 2008), the authors propose a reputation-based architecture for CWSs and classify the involved metrics that affect the reputation of a community. They derive the involved metrics by processing some historical performance data recorded in a run-time logging system.…”

Section: Related Workmentioning

confidence: 99%

Analyzing Communities of Web Services Using Incentives

Khosravifar

Moazin

Thiran

2010

International Journal of Web Services Research

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ABSTRACT:This paper aims to propose an effective mechanism dealing with reputation assessment of communities of web services (CWSs) that are known as societies composed by a number of functionally identical web services. The objective is to provide a general incentive for CWSs to act truthfully given that they are allowed to decide about their actions.The considered entities (web services, virtual organizations, etc.) are designed as software autonomous agents equipped with advanced communication and reasoning capabilities. User agents request CWSs for services and accordingly rate their satisfactions about the received quality and community responsiveness. The strategies taken by different parties are private to individual agents. The logging file that collects feedback is investigated by a controller agent. Furthermore, the accurate reputation assessment is achieved by maintaining a sound logging mechanism. To this end, the incentives for CWSs to act truthfully are investigated and analyzed, which allows the controller agent to keep the logging file accurate. The proposed framework defines the evaluation metrics involved in the reputation assessment of a community, and supervises the logging system in order to verify the validity and soundness of the feedback provided by the users. In this paper, the proposed framework is described, a theoretical analysis of its assessment and its implementation along with discussion of empirical results are provided. We also show how our model is efficient, particularly in very dynamic environments.

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“…Recently, there have been few attempts to address the formation and reputation of Communities of Web Services (CWSs) [7,13]. The main property of a CWS is to facilitate and improve the process of web service selection and effectively regulate the process of user requests.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, reputation helps users to select the most reputable community, which would provide the best QoS, and helps providers to join the best community, which would bring them the most value. In [7], Elnaffar et al propose a reputation-based architecture for CWSs and classify the involved metrics that affect the reputation of a community. They derive the involved metrics by processing some historical performance data recorded in a run-time logging system.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Incentive-Based Reputation for Communities of Web Services

Khosravifar

Thiran

Moazin

et al. 2009

2009 IEEE International Conference on Web Services

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Community of web services (CWS) is a society composed by a number of functionally identical web services. The communities always aim to increase their reputation level in order to obtain more requests. In this paper, we propose an effective mechanism dealing with reputation assessment for communities of web services. The proposed mechanism is based on after-service feedbacks provided by the users to a run-time logging system. The proposed method defines the evaluation metrics involved in reputation assessment of a community, and supervises the logging system in order to verify the validity and soundness of the feedbacks provided by the users. In this paper, the proposed framework is described, a theoretical analysis of its assessment and its implementation along with empirical result discussions are provided. We also show how our model is efficient, particularly in very dynamic environments.

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Reputation of Communities of Web Services - Preliminary Investigation

Cited by 31 publications

References 7 publications

Towards an Approach for Weaving Preferences into Web Services Operation

Towards an Approach for Weaving Preferences into Web Services Operation

Analyzing Communities of Web Services Using Incentives

An Approach to Incentive-Based Reputation for Communities of Web Services

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