Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Online social networking sites are experiencing tremendous user growth with hundreds of millions of active users. As a result, there is a tremendous amount of user profile data online, e.g., name, birthdate, etc. Protecting this data is a challenge. The task of access policy composition is a tedious and confusing effort for the average user having hundreds of friends.  propose an approach that assists users in composing and managing their access control policies. Our approach is based on a supervised learning mechanism that leverages user provided example policy settings as training sets to build classifiers that are the basis for auto-generated policies. Furthermore,  provide mechanisms to enable users to fuse policy decisions that are provided by their friends or others in the social network. These policies then regulate access to user profile objects.  implemented our approach and, through extensive experimentation, prove the accuracy of our proposed mechanisms.
['Mohamed Shehab', 'Gorrell P. Cheek', 'Hakim Touati', 'Anna Cinzia Squicciarini', 'Pau-Chen Cheng']
I am writing a research paper on a idea Learning based access control in online social networks
[{"from": "human", "value": "I am writing a research paper on a idea Learning based access control in online social networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Online social networking sites are experiencing tremendous user growth with hundreds of millions of active users. As a result, there is a tremendous amount of user profile data online, e.g., name, birthdate, etc. Protecting this data is a challenge. The task of access policy composition is a tedious and confusing effort for the average user having hundreds of friends.  propose an approach that assists users in composing and managing their access control policies. Our approach is based on a supervised learning mechanism that leverages user provided example policy settings as training sets to build classifiers that are the basis for auto-generated policies. Furthermore,  provide mechanisms to enable users to fuse policy decisions that are provided by their friends or others in the social network. These policies then regulate access to user profile objects.  implemented our approach and, through extensive experimentation, prove the accuracy of our proposed mechanisms."}]