Online Social Networks for a Multiparty Access Control Model and Mechanisms
Journal: International Journal of Computer Science and Network Solutions (IJCSNS) (Vol.1, No. 4)Publication Date: 2013-12-01
Authors : K.Rachel Praveena Dr.S.Durga Bhavani K.Suresh Babu;
Page : 69-77
Keywords : Security model; Social network; Multiparty access control; Policy specification and management;
Abstract
Online Social Networks (OSNs) are essentially designed to facilitate people to share personal and public information and make social connections with others. These OSNs propose goodlooking means for digital social communications and information distribution, but also raise a number of security and privacy issues. Whereas OSNs allow users to control access to shared data, at the moment they do not provide any mechanism to implement privacy concerns over data connected with multiple users. The proposed approach is to facilitate the defense of shared data associated with many users in OSNs. We put together an access control replica to capture the essence of multiparty agreement requirements, along with a multiparty strategy requirement scheme and a policy enforcement mechanism. Here present a logical demonstration of our access control model which allows us to influence the features of presented logic solvers to execute various analysis tasks on our model. We introduced a proof-of-concept prototype of our move toward as part of an application in Face book and make available usability study and system valuation of our method. The survival of OSNs that include person detailed information creates attractive openings for various applications ranging from advertising to group of people organization. Security and privacy concerns need to be deal with for creating such applications. Improving social network access control systems appears as the first step toward addressing the existing security and privacy concerns related to online social networks. To address some of the current limitations, we have created an experimental social network using synthetic data which we then use to test the efficacy of the semantic reasoning based approaches we have previously suggested.
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