Invention Grant
- Patent Title: Systems, methods, and apparatuses for implementing a privacy-preserving social media data outsourcing model
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Application No.: US16521321Application Date: 2019-07-24
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Publication No.: US11455427B2Publication Date: 2022-09-27
- Inventor: Yanchao Zhang , Jinxue Zhang
- Applicant: Arizona Board of Regents on Behalf of Arizona State University
- Applicant Address: US AZ Scottsdale
- Assignee: Arizona Board of Regents on Behalf of Arizona State University
- Current Assignee: Arizona Board of Regents on Behalf of Arizona State University
- Current Assignee Address: US AZ Scottsdale
- Agency: Elliott, Ostrander & Preston, P.C.
- Main IPC: G06F21/62
- IPC: G06F21/62 ; G06F16/903 ; G06Q50/00 ; G06F16/9536

Abstract:
In accordance with embodiments disclosed herein, there are provided methods and systems for implementing a privacy-preserving social media data outsourcing model. For example, there is disclosed a Data Services Provider (DSP) Framework system, which includes a receive interface to receive an unperturbed social media data set having social media data corresponding to each of a plurality of users represented therein; a data privacy engine to map the received unperturbed social media data set into a high-dimensional user-keyword matrix connecting each of the plurality of users represented with multi-variable keywords corresponding to each user's social media data within the unperturbed social media data set; the data privacy engine further to inject controlled noise generate as output, a perturbed user-keyword matrix which protects each of the plurality of users' privacy during a statistical query against the perturbed user-keyword matrix having the social media data of the plurality of users embodied therein by preventing an attacker from (i) inferring whether a targeted user by the attacker is one of the plurality of users or (ii) inferring whether any record is associated with the targeted user. Other related embodiments are disclosed.
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