Method and apparatus for generating privacy profiles
First Claim
Patent Images
1. A method, comprising:
- capturing, by at least one processing device, interactions during a web session;
filtering, by the at least one processing device, sensitive personal information from captured web session data in accordance with one or more privacy rules identifying sensitive personal information to prevent display of the sensitive personal information;
determining, by the at least one processing device, a first average of a privacy metric for a privacy rule identifying sensitive personal information and associated with a first time period, wherein the privacy metric indicates a statistical dimension associated with the privacy rule for the filtering of the web session data captured from the interactions within the web session;
determining, by the at least one processing device, a second average of the privacy metric for the privacy rule associated with a second time period;
comparing, by the at least one processing device, the first average with the second average to determine a deviation;
determining, by the at least one processing device, irregularities of the privacy rule for the filtering of the web session data based on the deviation between the first average of the privacy metric and the second average of the privacy metric being outside of a threshold range; and
replaying, by the at least one processing device, the web session using the web session data with the sensitive personal information filtered therefrom to identify the irregularities of the privacy rule in the filtering.
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Abstract
A privacy processing system may use privacy rules to filter sensitive personal information from web session data. The privacy processing system may generate privacy profiles or privacy metadata that identifies how often the privacy rules are called, how often the privacy rules successfully complete actions, and the processing time required to execute the privacy rules. The privacy profiles may be used to detect irregularities in the privacy filtering process that may be associated with a variety of privacy filtering and web session problems.
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Citations
19 Claims
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1. A method, comprising:
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capturing, by at least one processing device, interactions during a web session; filtering, by the at least one processing device, sensitive personal information from captured web session data in accordance with one or more privacy rules identifying sensitive personal information to prevent display of the sensitive personal information; determining, by the at least one processing device, a first average of a privacy metric for a privacy rule identifying sensitive personal information and associated with a first time period, wherein the privacy metric indicates a statistical dimension associated with the privacy rule for the filtering of the web session data captured from the interactions within the web session; determining, by the at least one processing device, a second average of the privacy metric for the privacy rule associated with a second time period; comparing, by the at least one processing device, the first average with the second average to determine a deviation; determining, by the at least one processing device, irregularities of the privacy rule for the filtering of the web session data based on the deviation between the first average of the privacy metric and the second average of the privacy metric being outside of a threshold range; and replaying, by the at least one processing device, the web session using the web session data with the sensitive personal information filtered therefrom to identify the irregularities of the privacy rule in the filtering. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer program product for determination of whether filtering of web session data had been properly performed, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by at least one device to cause the at least one device to:
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capture interactions during a web session; filter sensitive personal information from captured web session data in accordance with one or more privacy rules identifying sensitive personal information to prevent display of the sensitive personal information; determine a first average of a privacy metric for a privacy rule identifying sensitive personal information and associated with a first time period, wherein the privacy metric indicates a statistical dimension associated with the privacy rule for the filtering of the web session data captured from the interactions within the web session; determine a second average of the privacy metric for the privacy rule associated with a second time period; compare the first average with the second average to determine a deviation; determine irregularities of the privacy rule for the filtering of the web session data based on the deviation between the first average of the privacy metric and the second average of the privacy metric being outside of a threshold range; and replay the web session using the web session data with the sensitive personal information filtered therefrom to identify the irregularities of the privacy rule in the filtering. - View Dependent Claims (12, 13, 14, 15)
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16. An apparatus, comprising:
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a memory device configured to store privacy metrics associated with a web session; and at least one processor to; capture interactions during a web session; filter sensitive personal information from captured web session data in accordance with one or more privacy rules identifying sensitive personal information to prevent display of the sensitive personal information; determine a first average of a privacy metric, selected from the privacy metrics stored in the memory device, for a privacy rule identifying sensitive personal information and associated with a first time period, wherein the privacy metric indicates a statistical dimension associated with the privacy rule for the filtering of the web session data captured from the interactions within the web session; determine a second average of the privacy metric for the privacy rule associated with a second time period; compare the first average with the second average to determine a deviation; determine irregularities of the privacy rule for the filtering of the web session data based on the deviation between the first average of the privacy metric and the second average of the privacy metric being outside of a threshold range; and replay the web session using the web session data with the sensitive personal information filtered therefrom to identify the irregularities of the privacy rule in the filtering. - View Dependent Claims (17, 18, 19)
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Specification