System and method for protecting user privacy using social inference protection techniques
AssigneeNew Jersey Institute of Technology
InventorsSara Gatmir Motahari, Quentin Jones
Life of this patent
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Abstract
A system and method for protecting user privacy using social inference protection techniques is provided. The system executes a plurality of software modules which model of background knowledge associated with one or more users of the mobile computing devices; estimate information entropy of a user attribute which could include identity, location, profile information, etc.; utilize the information entropy models to predict the social inference risk; and minimize privacy risks by taking a protective action after detecting a high risk.
Claims14
A method for protecting individual privacy in a computer network, comprising the steps of:
- providing a computing device in communication with a network;
- modeling a context associated with a user of the computing device and storing the modeled context in a data store;
- calculating an information entropy level associated with the user using the computing device;
- storing the calculated information entropy level in a data store of the computing device;
- calculating a privacy threshold associated with the user using the computing device;
- storing the calculated privacy threshold in the data store of the computing device;
- and
- implementing at least one privacy protection action based upon the modeled context, the calculated information entropy level, and the calculated privacy threshold.
A method for protecting individual privacy in a computer network, comprising the steps of:
- modeling a context associated with a user of the a computing device in communication with a network and storing the modeled context in a data store;
- calculating an information entropy level associated with the user using the computing device;
- storing the calculated information entropy level in a data store of the computing device;
- calculating a privacy threshold associated with the user using the computing device;
- storing the calculated privacy threshold in the data store of the computing device;
- and
- implementing at least one privacy protection action based upon the modeled context, the calculated information entropy level, and the calculated privacy threshold.
Dependencies are inferred from the claim text.