Invention Grant
- Patent Title: Internal dataset-based outlier detection for confidential data in a computer system
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Application No.: US15279334Application Date: 2016-09-28
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Publication No.: US10025939B2Publication Date: 2018-07-17
- Inventor: Krishnaram Kenthapadi , Stuart MacDonald Ambler , Parul Jain
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F21/60
- IPC: G06F21/60 ; G06F21/62

Abstract:
In an example, a submission of a confidential data value of a first confidential data type is received from a first user with one or more attributes. A plurality of previously submitted confidential data values of a first confidential data type for a cohort matching the one or more attributes of the first user are retrieved. A plurality of percentiles for the confidential data values are calculated. Then, an interquartile range is calculated for a first and a second of the plurality of percentiles. A lower limit for the first confidential data type and the cohort is computed by taking a maximum of zero or the difference between the value for the first of the plurality of percentiles and a product of a preset alpha parameter and the interquartile range. Then it is determined if the confidential data value submitted by the user is lower than the lower limit.
Public/Granted literature
- US20180089443A1 INTERNAL DATASET-BASED OUTLIER DETECTION FOR CONFIDENTIAL DATA IN A COMPUTER SYSTEM Public/Granted day:2018-03-29
Information query