NDLI: ROAuth: recommendation based open authorization

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ROAuth: recommendation based open authorization

Content Provider	ACM Digital Library
Author	Shehab, Mohamed Marouf, Said Hudel, Christopher
Abstract	Many major online platforms such as Facebook, Google, and Twitter, provide an open Application Programming Interface which allows third party applications to access user resources. The Open Authorization protocol (OAuth) was introduced as a secure and efficient method for authorizing third party applications without releasing a user's access credentials. However, OAuth implementations don't provide the necessary fine-grained access control, nor any recommendations vis-a-vis which access control decisions are most appropriate. We propose an extension to the OAuth 2.0 authorization that enables the provisioning of fine-grained authorization recommendations to users when granting permissions to third party applications. We propose a mechanism that computes permission ratings based on a multi-criteria recommendation model which utilizes previous user decisions, and application requests to enhance the privacy of the overall site's user population. We implemented our proposed OAuth extension as a browser extension that allows users to easily configure their privacy settings at application installation time, provides recommendations on requested privacy attributes, and collects data regarding user decisions. Experiments on the collected data indicate that the proposed framework efficiently enhanced the user awareness and privacy related to third party application authorizations.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF
ISBN	9781450309110
DOI	10.1145/2078827.2078842
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-07-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Oauth Recommendations Privacy Social networks Collaborationnetworks
Content Type	Text
Resource Type	Article

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