Web services reputation assessment using a hidden Markov model

Zaki Malik; Ihsan Akbar; Athman Bouguettaya

doi:10.1007/978-3-642-10383-4_42

Web services reputation assessment using a hidden Markov model

Zaki Malik^*, Ihsan Akbar, Athman Bouguettaya

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

50 Citations (Scopus)

Abstract

We present an approach for reputation assessment in service-oriented environments. We define key metrics to aggregate the feedbacks of different raters, for assessing a service provider's reputation. In situations where rater feedbacks are not readily available, we use a Hidden Markov Models (HMM) to predict the reputation of a service provider. HMMs have proven to be suitable in numerous research areas for modelling dynamic systems. We propose to emulate the success of such systems for evaluating service reputations to enable trust-based interactions with and amongst Web services. The experiment details included in this paper show the applicability of the proposed HMM-based reputation assessment model.

Original language	English
Title of host publication	Service-Oriented Computing - 7th International Joint Conference, ICSOC-Service Wave 2009, Proceedings
Pages	576-591
Number of pages	16
DOIs	https://doi.org/10.1007/978-3-642-10383-4_42
Publication status	Published - 2009
Externally published	Yes
Event	7th International Joint Conference on Service-Oriented Computing, ICSOC-ServiceWave 2009 - Stockholm, Sweden Duration: 24 Nov 2009 → 27 Nov 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5900 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Joint Conference on Service-Oriented Computing, ICSOC-ServiceWave 2009
Country/Territory	Sweden
City	Stockholm
Period	24/11/09 → 27/11/09

Access to Document

10.1007/978-3-642-10383-4_42

Cite this

Malik, Z., Akbar, I., & Bouguettaya, A. (2009). Web services reputation assessment using a hidden Markov model. In Service-Oriented Computing - 7th International Joint Conference, ICSOC-Service Wave 2009, Proceedings (pp. 576-591). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5900 LNCS). https://doi.org/10.1007/978-3-642-10383-4_42

Malik, Zaki ; Akbar, Ihsan ; Bouguettaya, Athman. / Web services reputation assessment using a hidden Markov model. Service-Oriented Computing - 7th International Joint Conference, ICSOC-Service Wave 2009, Proceedings. 2009. pp. 576-591 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Web services reputation assessment using a hidden Markov model",

abstract = "We present an approach for reputation assessment in service-oriented environments. We define key metrics to aggregate the feedbacks of different raters, for assessing a service provider's reputation. In situations where rater feedbacks are not readily available, we use a Hidden Markov Models (HMM) to predict the reputation of a service provider. HMMs have proven to be suitable in numerous research areas for modelling dynamic systems. We propose to emulate the success of such systems for evaluating service reputations to enable trust-based interactions with and amongst Web services. The experiment details included in this paper show the applicability of the proposed HMM-based reputation assessment model.",

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Malik, Z, Akbar, I & Bouguettaya, A 2009, Web services reputation assessment using a hidden Markov model. in Service-Oriented Computing - 7th International Joint Conference, ICSOC-Service Wave 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5900 LNCS, pp. 576-591, 7th International Joint Conference on Service-Oriented Computing, ICSOC-ServiceWave 2009, Stockholm, Sweden, 24/11/09. https://doi.org/10.1007/978-3-642-10383-4_42

Web services reputation assessment using a hidden Markov model. / Malik, Zaki; Akbar, Ihsan; Bouguettaya, Athman.
Service-Oriented Computing - 7th International Joint Conference, ICSOC-Service Wave 2009, Proceedings. 2009. p. 576-591 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5900 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - We present an approach for reputation assessment in service-oriented environments. We define key metrics to aggregate the feedbacks of different raters, for assessing a service provider's reputation. In situations where rater feedbacks are not readily available, we use a Hidden Markov Models (HMM) to predict the reputation of a service provider. HMMs have proven to be suitable in numerous research areas for modelling dynamic systems. We propose to emulate the success of such systems for evaluating service reputations to enable trust-based interactions with and amongst Web services. The experiment details included in this paper show the applicability of the proposed HMM-based reputation assessment model.

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Malik Z, Akbar I, Bouguettaya A. Web services reputation assessment using a hidden Markov model. In Service-Oriented Computing - 7th International Joint Conference, ICSOC-Service Wave 2009, Proceedings. 2009. p. 576-591. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-10383-4_42

Web services reputation assessment using a hidden Markov model

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