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1. 发明授权

US11036684B2 Columnar database compression 有权
公开(公告)号：US11036684B2
公开(公告)日：2021-06-15
申请号：US16203650
申请日：2018-11-29
申请人： International Business Machines Corporation
发明人： Sami Abed , Pedro Barbas , Austin Clifford , Konrad Emanowicz
IPC分类号： G06F17/00 , G06F16/174 , G06F16/22 , G06F16/27 , G06F16/2457 , G06N20/00
摘要： Disclosed is an approach comprising a column partitioned into a plurality of partitions including an empty partition and a plurality of filled partitions each comprising data entries associated with a set of parameters having parameter values, the data entries compressed in accordance with a compression dictionary. The approach comprises receiving forecasted parameter values for an expected set of data entries to be stored in an empty partition; predicting a recurrence frequency of the data entries in the expected set using the forecasted parameter values by evaluating the respective compression dictionaries of the filled partitions with a machine learning algorithm; generating a predictive compression dictionary for the expected set of data entries based on the predicted recurrence frequency of the data entries in the expected set; receiving the expected set of data entries; and compressing at least part of the received expected set of data entries using the predictive compression dictionary.

2. 发明授权

US10747903B2 Identification of pseudonymized data within data sources 有权
公开(公告)号：US10747903B2
公开(公告)日：2020-08-18
申请号：US16394749
申请日：2019-04-25
申请人： International Business Machines Corporation
发明人： Pedro Barbas , Austin Clifford , Konrad Emanowicz , Patrick G. O'Sullivan
IPC分类号： G06F21/62 , H04L9/00
摘要： A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.

3. 发明申请

US20190251292A1 RUNTIME CONTROL OF AUTOMATION ACCURACY USING ADJUSTABLE THRESHOLDS 审中-公开
公开(公告)号：US20190251292A1
公开(公告)日：2019-08-15
申请号：US16394749
申请日：2019-04-25
申请人： International Business Machines Corporation
发明人： Pedro Barbas , Austin Clifford , Konrad Emanowicz , Patrick G. O'Sullivan
IPC分类号： G06F21/62
摘要： A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.

4. 发明申请

US20200226289A1 RUNTIME CONTROL OF AUTOMATION ACCURACY USING ADJUSTABLE THRESHOLDS 审中-公开
公开(公告)号：US20200226289A1
公开(公告)日：2020-07-16
申请号：US16829842
申请日：2020-03-25
申请人： International Business Machines Corporation
发明人： Pedro Barbas , Austin Clifford , Konrad Emanowicz , Patrick G. O'Sullivan
IPC分类号： G06F21/62 , H04L9/00
摘要： A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.

5. 发明申请

US20190095461A1 COLUMNAR DATABASE COMPRESSION 审中-公开
公开(公告)号：US20190095461A1
公开(公告)日：2019-03-28
申请号：US16203650
申请日：2018-11-29
申请人： International Business Machines Corporation
发明人： Sami Abed , Pedro Barbas , Austin Clifford , Konrad Emanowicz
IPC分类号： G06F17/30
摘要： Disclosed is an approach comprising a column partitioned into a plurality of partitions including an empty partition and a plurality of filled partitions each comprising data entries associated with a set of parameters having parameter values, the data entries compressed in accordance with a compression dictionary. The approach comprises receiving forecasted parameter values for an expected set of data entries to be stored in an empty partition; predicting a recurrence frequency of the data entries in the expected set using the forecasted parameter values by evaluating the respective compression dictionaries of the filled partitions with a machine learning algorithm; generating a predictive compression dictionary for the expected set of data entries based on the predicted recurrence frequency of the data entries in the expected set; receiving the expected set of data entries; and compressing at least part of the received expected set of data entries using the predictive compression dictionary.

6. 发明申请

US20130282697A1 DATA MASKING 有权
标题翻译：数据屏蔽
公开(公告)号：US20130282697A1
公开(公告)日：2013-10-24
申请号：US13777355
申请日：2013-02-26
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Pedro Barbas , Austin Clifford , Gareth Jenkins , Brian McKeown
IPC分类号： G06F17/30
CPC分类号： G06F17/30554 , G06F17/30483
摘要： Aspects include data masking in database operations including intercepting a database query and identifying masked data in the query. The masked data in the query is unmasked by substituting the masked data with equivalent real values. The unmasked query is sent to the database engine, and a result provided by the database engine in response to the unmasked query is intercepted. The values in the result that correspond to sensitive information are identified. The result is masked by substituting the values in the result corresponding to sensitive information with masked equivalents. The masked result is returned to a user.
摘要翻译：方面包括数据库操作中的数据屏蔽，包括拦截数据库查询和识别查询中的屏蔽数据。通过用等效的实际值替换被屏蔽的数据来解除查询中的屏蔽数据。未屏蔽的查询被发送到数据库引擎，并且数据库引擎提供的响应于未屏蔽查询的结果被截取。识别与敏感信息相对应的结果中的值。通过用掩蔽的等价物代替对应于敏感信息的结果中的值来掩蔽结果。屏蔽的结果返回给用户。

7. 发明授权

US10657287B2 Identification of pseudonymized data within data sources 有权
公开(公告)号：US10657287B2
公开(公告)日：2020-05-19
申请号：US15800405
申请日：2017-11-01
申请人： International Business Machines Corporation
发明人： Pedro Barbas , Austin Clifford , Konrad Emanowicz , Patrick G. O'Sullivan
IPC分类号： G06F21/62 , H04L9/00
摘要： A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.

8. 发明申请

US20190130132A1 RUNTIME CONTROL OF AUTOMATION ACCURACY USING ADJUSTABLE THRESHOLDS 审中-公开
公开(公告)号：US20190130132A1
公开(公告)日：2019-05-02
申请号：US15800405
申请日：2017-11-01
申请人： International Business Machines Corporation
发明人： Pedro Barbas , Austin Clifford , Konrad Emanowicz , Patrick G. O'Sullivan
IPC分类号： G06F21/62
摘要： A computer-implemented method, computer program product and system for identifying pseudonymized data within data sources. One or more data repositories within one or more of the data sources are selected. One or more privacy data models are provided, where each of the privacy data models includes pattern(s) and/or parameter(s). One or more of the one or more privacy data models are selected. Data identification information is generated, where the data identification information indicates a presence or absence of pseudonymized data and of non-pseudonymized data within the one or more of the data sources. The data identification information is generated utilizing the pattern(s) and/or the parameter(s) to determine pseudonymized data.

9. 发明授权

US09135315B2 Data masking 有权
标题翻译：数据屏蔽
公开(公告)号：US09135315B2
公开(公告)日：2015-09-15
申请号：US13777355
申请日：2013-02-26
申请人： International Business Machines Corporation
发明人： Pedro Barbas , Austin Clifford , Gareth Jenkins , Brian McKeown
IPC分类号： G06F17/30
CPC分类号： G06F17/30554 , G06F17/30483
摘要： Aspects include data masking in database operations including intercepting a database query and identifying masked data in the query. The masked data in the query is unmasked by substituting the masked data with equivalent real values. The unmasked query is sent to the database engine, and a result provided by the database engine in response to the unmasked query is intercepted. The values in the result that correspond to sensitive information are identified. The result is masked by substituting the values in the result corresponding to sensitive information with masked equivalents. The masked result is returned to a user.
摘要翻译：方面包括数据库操作中的数据屏蔽，包括拦截数据库查询和识别查询中的屏蔽数据。通过用等效的实际值替换被屏蔽的数据来解除查询中的屏蔽数据。未屏蔽的查询被发送到数据库引擎，并且数据库引擎提供的响应于未屏蔽查询的结果被截取。识别与敏感信息对应的结果中的值。通过用掩蔽的等价物代替对应于敏感信息的结果中的值来掩蔽结果。屏蔽的结果返回给用户。

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