Abstract
The Open Authorization Protocol (OAuth 2.0) was introduced to provide secure and efficient method for providing authorization to the third party applications without sharing user’s credentials. Major social internet players like Facebook, Google and Twitter implement their API’s based on this protocol for enhancing the user experience of social sharing and sign-on. However OAuth doesn’t provides the necessary fine-grained access control or any suggestions. We have proposed an enhancement to the OAuth 2.0 authorization which will provide provision of fine grained authorization suggestions to the users while granting permission to the third party applications in online social networking. Our multi criteria suggestion based model method will utilizes user-based, application based, category-based combination filtering systems. Our category-based combination filtering system is based on decision made by the previous users and the application based permission requests for enhancing the user’s privacy control. We have provided a provision for strengthening the OAuth 2.0 protocol in online social networking websites by proposing OAuth 2.0 extension as a browser based extension which allows various users to compose their privacy settings at the time of installing third party applications.
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