Invention Grant
- Patent Title: Risk identification of personally identifiable information from collective mobile app data
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Application No.: US16459938Application Date: 2019-07-02
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Publication No.: US11194929B2Publication Date: 2021-12-07
- Inventor: Jinhong Yang , Chui Soo Kim , Nam Yong Lee , Md Mehedi Hassan Onik
- Applicant: INJE UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- Applicant Address: KR Gimhae-Si Gyeongsangnam-do
- Assignee: INJE UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- Current Assignee: INJE UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION
- Current Assignee Address: KR Gimhae-Si Gyeongsangnam-do
- Agency: Hayes Soloway P.C.
- Priority: KR10-2018-0094508 20180813,KR10-2018-0131607 20181031
- Main IPC: G06F21/62
- IPC: G06F21/62

Abstract:
Big data analytics is being used by many market participants. PII (Personally Identifiable Information) (e.g., age, race, social security number, address, etc.) plays a vital role in providing user-centric services. Many IT companies collect, store and process PII of their customers by means of various mobile applications. The example embodiments may explain how collective permission gathering through multiple Android applications by same publishers can disclose user's PII by using two new PII risk factors, and determine total risk factor for PII.
Public/Granted literature
- US20200050789A1 RISK IDENTIFICATION OF PERSONALLY IDENTIFIABLE INFORMATION FROM COLLECTIVE MOBILE APP DATA Public/Granted day:2020-02-13
Information query