Patent application EP17176384A (EP), filed 2017-06-16
Publication number: EP3258399A1
Title: METHOD AND SYSTEM FOR GENERATING PHONETICALLY SIMILAR MASKED DATA
Abstract: A method and system is provided for generating a group of phonetically similar masked data. The present application provides a method and system for generating a group of phonetically similar masked data; comprises preprocessing of input dataset values comprising a list of fictitious data values to be used as masked data; determining a plurality of groups of phonetically similar data values present in the dataset list; and deriving metaphone for each input data value to be masked; generating a first numeric code from derived metaphone value of input data value to be masked; selecting one group of phonetically similar data values out of the plurality of groups of phonetically similar data values based on the generated first numeric code; and generating a second numeric code from input data value for selecting a masked value from a plurality of fictitious data group.
IPC codes: G06F  17/    30            A I
G06Q  10/    10            A I
Claims: number: 1
text: A method for generating a group of phonetically similar masked data; said method comprising processor implemented steps of:
number: 2
text: The method as claimed in claim 1, further comprises of determining a group of masked output values from the plurality of fictitious data group by mapping the input data group to one of the data group in output.
number: 3
text: The method as claimed in claim 2, wherein the group of masked output values are utilized to fetch a consistent masked value for input data.
number: 4
text: The method as claimed in claim 2, wherein for a particular group the masked output values group is consistent irrespective of occurrences of groups.
number: 5
text: The method as claimed in claim 1, wherein for a particular input data, the masked output values from said determined group is consistent irrespective of its occurrences.
number: 6
text: A system (200) for generating a group of phonetically similar masked data; said system (200) comprising:
number: 7
text: One or more non-transitory machine readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors causes the one or more hardware processor to perform a method for generating a group of phonetically similar masked data, said method comprising:
number: 8
text: The one or more non-transitory machine readable information storage mediums of claim 7, further comprises of determining a group of masked output values from the plurality of fictitious data group by mapping the input data group to one of the data group in output.
number: 9
text: The one or more non-transitory machine readable information storage mediums of claim 8, wherein the group of masked output values are utilized to fetch a consistent masked value for input data.
number: 10
text: The one or more non-transitory machine readable information storage mediums of claim 8, wherein for a particular group the masked output values group is consistent irrespective of occurrences of groups.
number: 11
text: The one or more non-transitory machine readable information storage mediums of claim 7, wherein for a particular input data, the masked output values from said determined group is consistent irrespective of its occurrences.
Office action: search_report, dated 2017-12-20
Prior art cited: ref_id: US2009150370A1
ref_type: patent
severity: background
ref_id: US2013060820A1
ref_type: patent
severity: background
ref_id: - MITTAL ANKUSH ET AL: "Phonetic matching and syntactic tree similarity based QA system for SMS queries", 2014 INTERNATIONAL CONFERENCE ON GREEN COMPUTING COMMUNICATION AND ELECTRICAL ENGINEERING (ICGCCEE), IEEE, 6 March 2014 (2014-03-06), pages 1 - 6, XP032658152, DOI: 10.1109/ICGCCEE.2014.6921412
ref_type: npl
severity: background
ref_id: - LI MIN ET AL: "Data Masking Generic Model", 2013 FOURTH INTERNATIONAL CONFERENCE ON EMERGING INTELLIGENT DATA AND WEB TECHNOLOGIES, IEEE, 9 September 2013 (2013-09-09), pages 724 - 727, XP032507245, DOI: 10.1109/EIDWT.2013.131
ref_type: npl
severity: background
ref_id: US2009150370
ref_type: patent
severity: background
ref_id: US2013060820
ref_type: patent
severity: background
ref_id: - MITTAL ANKUSH ET AL, "Phonetic matching and syntactic tree similarity based QA system for SMS queries", 2014 INTERNATIONAL CONFERENCE ON GREEN COMPUTING COMMUNICATION AND ELECTRICAL ENGINEERING (ICGCCEE), IEEE, (20140306), doi:10.1109/ICGCCEE.2014.6921412, pages 1 - 6, XP032658152 [I] 1-11 * abstract * * page  1, column  l, line  25  - page  3, column  r, line  4 * * page  4, column  l, line  1  - page  5, column  l, line  16 *
ref_type: npl
severity: background
ref_id: - LI MIN ET AL, "Data Masking Generic Model", 2013 FOURTH INTERNATIONAL CONFERENCE ON EMERGING INTELLIGENT DATA AND WEB TECHNOLOGIES, IEEE, (20130909), doi:10.1109/EIDWT.2013.131, pages 724 - 727, XP032507245 [A] 1-11 * abstract * * page  724, column  l, line  9  - page  725, column  r, line  22 * * page  727, column  l, line  2  - page  727, column  r, line  6 *
ref_type: npl
severity: background
Final disposition: pending (2017-12-20)