A Novel Trust-Based Privacy Preservation Framework for Service Handling via Ontology Service Ranking

Abstract

Pervasive computing has been a buzzing phrase these days as many areas accelerate their pace in developing pervasive computing systems. A pervasive computing aims at incorporating the computing technologies in a graceful and transparent manner, and make computing solutions available anywhere and at any time. Different aspects of pervasive computing, like smart homes, smart offices, social networks, micromarketing applications, PDAs, etc. are becoming a part of everyday life. However, ensuring privacy in pervasive computing has been a significant challenge that needs to be addressed for efficient adaptation of pervasive computing. In education domain, providing authentication for users poses difficulties in determining trustworthiness. In order to overcome the aforementioned challenges, a novel trust-based privacy preservation framework via ontology service ranking (TBPF-OSR) for user authentication is proposed in this work. At first, registration process is performed where a designated role manager assigns specific roles for all users based on their accessibility. Also, a new user generation methodology is allotted via generating user registration form. Further, authentication process is performed where the user request are validated based on the assigned roles. Finally, service handling is performed to effectively handle the requests generated in order to ensure service robustness and access control. Additionally, ontology based service ranking is performed via fuzzy logic based service recommendation algorithm.