9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

Privacy Aware Service Selection of Composite Web Services

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  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2013.254264,
        author={Anna Squicciarini and Barbara Carminati and Sushama Karumanchi},
        title={Privacy Aware Service Selection of Composite Web Services},
        proceedings={9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
        publisher={ICST},
        proceedings_a={COLLABORATECOM},
        year={2013},
        month={11},
        keywords={web services privacy selection and composition},
        doi={10.4108/icst.collaboratecom.2013.254264}
    }
    
  • Anna Squicciarini
    Barbara Carminati
    Sushama Karumanchi
    Year: 2013
    Privacy Aware Service Selection of Composite Web Services
    COLLABORATECOM
    IEEE
    DOI: 10.4108/icst.collaboratecom.2013.254264
Anna Squicciarini1,*, Barbara Carminati2, Sushama Karumanchi1
  • 1: Pennsylvania State University
  • 2: University of Insubria
*Contact email: asquicciarini@ist.psu.edu

Abstract

Web service selection involves finding services from a possibly huge database of similar services. Hence, the challenges involved in finding a suitable service include large time consumption, and difficulty of finding a perfect match according to the user specified search keywords. In addition, significant privacy and security concerns arise, as the information involved with service selection and provisioning may be sensitive for both providers and users. In this paper, we propose a comprehensive framework to uniformly protect users and service providers at the time of service selection. We define a solution that (a) supports private service selection, such that both criteria and service attributes are kept private during the matching and (b) includes an approach to protect service provisioning rules from unwanted disclosure, both from the user and the service provider's perspective. We implemented our solution and integrated with the current Web service standard technologies. We conducted an extensive experimental evaluation, using datasets of actual WSDL documents. Our experimental evaluation and complexity analysis demonstrate that our algorithms are both effective and efficient.