Conference Paper

Architecture for Discovery of Context-Aware Web Services Based on Privacy Preferences

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Conference Paper

Architecture for Discovery of Context-Aware Web Services Based on Privacy Preferences

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Abstract

With the rise of information and communication technologies, along with commencement of context - aware web services, the whole internet platform has inclined towards pervasiveness, exploring the way for the brand new world of the "future internet". However, they bring the issue of personal privacy to the picture, as context-awareness not only natively depends upon the collection and processing of the context information, but also the loose architectural concepts of web services increase the leakage-proneness of the data flows. This paper aims at contributing privacy management layer to the context-aware web service architecture, encouraging the concept of privacy awareness in this class of services. The described architecture provides means for privacy in context targeting the user privacy preferences to discover the most secure and flexible web services. An effective and efficient technique is proposed which generates the ranking order of web services on the basis of user's privacy preferences.

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... We found that numerous literatures suggested frameworks for managing context for specific context-aware environment. Some of these efforts [9,10] addressed the privacy-protection for context-aware web applications. Most of them considered privacy protection for context-aware mobile applications [6,7,8,11 and 12] and few of them [13][14][15] proposed a method for controlling the privacy in the context-aware environment. ...
... Also, she used these preferences for comparing user personal context in the context-aware environment with the privacy enforcer architecture in contextaware web services. In [10], the authors described the performance of the context-aware web-services depend heavily upon collecting and processing the user information which caused escalation in the user personal data leakage. They proposed a technique for generating a ranking order of the web services on the basis of user's privacy preferences that aims to discover the most secure and flexible web services. ...
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