Paper Details

Major online platforms such as Facebook, Google, and Twitter allow third -party applications such as games,and productivity applications access to user online private data. Such accesses must be authorized by users atinstallation time. The Open Authorization protocol (OAuth) was introduced as a secure and efficient method forauthorizing third-party applications without releasing a user’s access credentials. However, OAuth implementationsdon’t provide the necessary fine-grained access control, nor any recommendations, i.e., which access control decisionsare most appropriate. An extension to the OAuth 2.0 authorization enables the provisioning of fine -grained authorizationrecommendations to users which grants permissions to third party applications. The system proposes a multicriteriarecommendation model that utilizes application-based, user-based, and category-based collaborative filteringmechanisms. Proposed System’s collaborative filtering mechanisms are based on previous user decisions, andapplication permission requests to enhance the privacy of the overall site’s user population.

Prof. Bhosale Priyanka Shivaji, Prof. More Shivaprasad Sakharam, “Extending OAuth 2.0 Protocol to Enable Fine Grained Authorization Recommendation Using Multi-criteria Recommendation System”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 1, pp. 23-27, January 2015.