Abstract: There is a need for design and implementation of interfaces for providing user-friendly feedback while creating and updating compliant passwords. This disclosure relates to a method of creating compliant password by in-place feedback to a password composition policy (PCP). A policy-enabled-virtual keyboard (PKBD) receives input from a user and is processed based on parameters associated with the PCP to identify accessible and inaccessible keys on the PKBD with in-place feedback. The in-place feedback is provided to highlight accessible keys of the PKBD for the user, if class associated with character, or mandated number of characters by the PCP are received are covered. Alternatively, the keys of the PKBD are disabled for access to the user by validating if class associated with character received are not covered, and a deviation of the parameters. A compliant password is created based on the PCP by providing in-place feedback for a resultant validation.

Abstract: The disclosure relates to sequencing of asset segments of privacy policies. The asset segments are sequenced based on a set of constraints. In an embodiment the asset segments are sequenced using a set of pre-defined predecessors and a set of pre-defined successors of each asset segment through a feasible sequence generation technique and a sequence generation technique based on the constraints, wherein the constraints are preferences associated with the source entity and the target entity. Hence the disclosure bridges a communication gap between the source entity and the target entity by optimally displaying the most relevant privacy policy (mapped to the asset segments) based on the constraints associated with the source entity and the target entity. Further the disclosed system also determines a violation factor that represents a conflict between the preferences associated with the source entity and the target entity.

Abstract: The disclosure relates to a method and a system for sequencing asset segments of privacy policy using optimization techniques. The asset segments are sequenced based on several constraints associated with preferences of a source entity and a target entity. Further the disclosure also determines a target entity violation factor that represents a conflict between the preferences associated with the source entity and the target entity. In an embodiment the disclosed method and system optimally sequences the plurality of asset segments using several optimization techniques that include a basic sequence generation technique, a source entity sequence optimizing technique and a target entity sequence optimizing technique considering constraints. Hence the disclosure bridges a communication gap between several stakeholders by optimally displaying the most relevant privacy policy (mapped to the asset segments) considering the constraints or preferences associated with both the source entity and the target entity.

Abstract: The disclosure herein describes a method and a system for providing data privacy based on customized cookie consent. The proposed customized cookie consent system enables user's data privacy by facilitating the user to customize a plurality of features for each individual cookie, wherein a cookie is customized for multiple features that includes a consent and expiry customization, a drill down at individual cookie, an online masking unmasking cookie data—an offline masking-unmasking cookie data, a consent lineage and a data subject rights for cookie data that further include data access, data portability, right to erasure based on machine learning techniques. Further the customized cookie consent system also provides recommendation for data privacy and obscured cookies using machine learning techniques.

Abstract: The disclosure relates to a method and a system for sequencing asset segments of privacy policy using optimization techniques. The asset segments are sequenced based on several constraints associated with preferences of a source entity and a target entity. Further the disclosure also determines a target entity violation factor that represents a conflict between the preferences associated with the source entity and the target entity. In an embodiment the disclosed method and system optimally sequences the plurality of asset segments using several optimization techniques that include a basic sequence generation technique, a source entity sequence optimizing technique and a target entity sequence optimizing technique considering constraints. Hence the disclosure bridges a communication gap between several stakeholders by optimally displaying the most relevant privacy policy (mapped to the asset segments) considering the constraints or preferences associated with both the source entity and the target entity.

Abstract: The disclosure relates to sequencing of asset segments of privacy policies. The asset segments are sequenced based on a set of constraints. In an embodiment the asset segments are sequenced using a set of pre-defined predecessors and a set of pre-defined successors of each asset segment through a feasible sequence generation technique and a sequence generation technique based on the constraints, wherein the constraints are preferences associated with the source entity and the target entity. Hence the disclosure bridges a communication gap between the source entity and the target entity by optimally displaying the most relevant privacy policy (mapped to the asset segments) based on the constraints associated with the source entity and the target entity. Further the disclosed system also determines a violation factor that represents a conflict between the preferences associated with the source entity and the target entity.

Abstract: This disclosure relates generally to consent management, and more particularly to a method and system for generating consent recommendation. The system determines a user aspect indicating consent preferences of the user, and identifies/predicts a reference privacy profile as matching the user aspect. The system uses a machine learning model to process the user aspect and to predict the matching reference privacy profile. Further, based on the matching reference privacy profile, the system generates one or more consent recommendations. The system can also be configured to obtain feedback for the generated consent recommendations and re-recommends consents based on the obtained feedback.

Abstract: Systems and methods for computing data privacy-utility tradeoff is disclosed. Large data hubs like data marketplace are a source of data that may be of utility to data buyers. However, output data provided to data sellers is required to meet the privacy requirements of data sellers and at the same time maintain a level of utility to data buyers. Conventionally known methods of achieving data privacy tend to suppress components of data that may result in reduced utility of the data. Systems and methods of the present disclosure compute this tradeoff to establish need for data transformation, if any, before data is shared with data sellers.

Abstract: Method and system for analyzing unstructured data for compliance enforcement is disclosed. The system provides a comprehensive compliance enforcement platform, which enables purpose based data processing in an enterprise to support automatic discovery of purposes and linking between data fields and purposes. The system creates a single view of data associated with the data subject for enforcing the data subject's right for data protection and privacy. The system supports database like transactions for unstructured data over web and ensures Atomicity, Consistency, Isolation and Durability (ACID) properties of these transactions. Thus, the system creates a uniform data layer or a web view for data residing in the unstructured and semi-structured data, spread across the enterprise. The transactions on the unstructured data include READ operation, UPDATE operation, and DELETE operation using hypertext transfer protocol (http) over the unstructured data.

Abstract: This disclosure relates generally to automatic conversion of text-based privacy policy (PP) to video format. Typically, the PP are cognitively loaded with the content and hence difficult to read and understand. The disclosed method and system facilitate in automatic conversion of text-based PP to video format. Said video formats may incorporated in animated forms for ease of understanding of the user. The disclosed system identifies segments from target PP and maps them to template PP segments stored in a template repository. The template PP segments selected from the template repository are mapped to short video templates or snippets stored in a video repository to identify video templates representative of the selected template segments. The selected video templates are sequenced in an optimal manner considering preferences and dependencies to obtain the portions of or complete target PP.

Abstract: This disclosure relates generally to automatic conversion of text-based privacy policy (PP) to video format. Typically, the PP are cognitively loaded with the content and hence difficult to read and understand. The disclosed method and system facilitate in automatic conversion of text-based PP to video format. Said video formats may incorporated in animated forms for ease of understanding of the user. The disclosed system identifies segments from target PP and maps them to template PP segments stored in a template repository. The template PP segments selected from the template repository are mapped to short video templates or snippets stored in a video repository to identify video templates representative of the selected template segments. The selected video templates are sequenced in an optimal manner considering preferences and dependencies to obtain the portions of or complete target PP.

Abstract: System and method for cheque image data masking are disclosed. In an example, a cheque image and a data file are received, the data file includes data records with values corresponding to sensitive data fields in the cheque image. Further, a template cheque image matching to the cheque image and redacted information associated with the template cheque image are obtained. Furthermore, a blank image snippet is generated for each sensitive data field in the cheque image based on a part of the obtained information about sensitive fields. Moreover, values corresponding to each sensitive field from the input data file are written to the blank image snippet based on the remaining information about sensitive fields. Also, the template cheque image is updated with the image snippet. Data of non-sensitive fields in the cheque image is then copied to the template cheque image, thereby facilitating cheque image data masking.

Abstract: This disclosure relates generally to consent management, and more particularly to a method and system for generating consent recommendation. The system determines a user aspect indicating consent preferences of the user, and identifies/predicts a reference privacy profile as matching the user aspect. The system uses a machine learning model to process the user aspect and to predict the matching reference privacy profile. Further, based on the matching reference privacy profile, the system generates one or more consent recommendations. The system can also be configured to obtain feedback for the generated consent recommendations and re-recommends consents based on the obtained feedback.

Abstract: The disclosure herein describes a method and a system for providing data privacy based on customized cookie consent. The proposed customized cookie consent system enables user's data privacy by facilitating the user to customize a plurality of features for each individual cookie, wherein a cookie is customized for multiple features that includes a consent and expiry customization, a drill down at individual cookie, an online masking unmasking cookie data—an offline masking-unmasking cookie data, a consent lineage and a data subject rights for cookie data that further include data access, data portability, right to erasure based on machine learning techniques. Further the customized cookie consent system also provides recommendation for data privacy and obscured cookies using machine learning techniques.

Abstract: System and method for text localization in images are disclosed. In an embodiment, a line and graphic eliminated image is received. Further, horizontal projection is performed on rows of the image to obtain a first flag vector, the flag vector indicates whether there is text in each row. Furthermore, a number of run-lengths of consecutive 1's and 0's is computed in the first flag vector. Moreover, text lines is extracted in the image based on the computed number of run-lengths of consecutive 1's and 0's in the first flag vector. Also, vertical projection is performed on the text lines to obtain a second flag vector for the text lines. Further, a number of run-lengths of consecutive 1's and 0's is computed in the second flag vectors. Furthermore, text is localized in the image based on the computed number of run-lengths of consecutive 1's and 0's in the second flag vectors.

Abstract: This disclosure relates generally to data masking, and more particularly to method and system for dynamic data masking for mainframe application. In one embodiment, the method includes receiving a request to access a mainframe application from a user profile. A role assigned to the user-profile is fetched from a roles-repository. The role defines rights associated with the user-profile to access information from the mainframe application. Corresponding to the request, an access session is initiated based on the role, and a screen is received. The screen includes a multiple fields, where one or more fields includes sensitive data associated with the mainframe application. Contextual information associated with the plurality of fields is identified corresponding to the session. Rules indicative of the fields to be masked, are fetched corresponding to the screen based on the role. The fields are masked based on the rule and the contextual information associated with the fields.

Abstract: A system and method are provided for enforcing user policies on database. In one aspect a user policy and/or enterprise policy is predefined and mapped to the column of the database. Further, the query is run through a query parsing module, the result is sent to a query analyzing module to analyze the sensitivity of each query. A query rewriting module rewrites the query and the rewritten query is sent to the database. A sensitive tree is generated using database metadata, which is used during query analysis and query re-writing. In cases the original query does not contain any set operators the rewritten query is executed on the database and results are displayed as per the user policy. The cases where the original query comprises set operators a function called merger is implemented in the database or at the proxy server and data is displayed as per the user policy.

Abstract: Systems and methods for computing data privacy-utility tradeoff is disclosed. Large data hubs like data marketplace are a source of data that may be of utility to data buyers. However, output data provided to data sellers is required to meet the privacy requirements of data sellers and at the same time maintain a level of utility to data buyers. Conventionally known methods of achieving data privacy tend to suppress components of data that may result in reduced utility of the data. Systems and methods of the present disclosure compute this tradeoff to establish need for data transformation, if any, before data is shared with data sellers.

Abstract: Method and system for analyzing unstructured data for compliance enforcement is disclosed. The system provides a comprehensive compliance enforcement platform, which enables purpose based data processing in an enterprise to support automatic discovery of purposes and linking between data fields and purposes. The system creates a single view of data associated with the data subject for enforcing the data subject's right for data protection and privacy. The system supports database like transactions for unstructured data over web and ensures Atomicity, Consistency, Isolation and Durability (ACID) properties of these transactions. Thus, the system creates a uniform data layer or a web view for data residing in the unstructured and semi-structured data, spread across the enterprise. The transactions on the unstructured data include READ operation, UPDATE operation, and DELETE operation using hypertext transfer protocol (http) over the unstructured data.

Abstract: System and method for text localization in images are disclosed. In an embodiment, a line and graphic eliminated image is received. Further, horizontal projection is performed on rows of the image to obtain a first flag vector, the flag vector indicates whether there is text in each row. Furthermore, a number of run-lengths of consecutive 1's and 0's is computed in the first flag vector. Moreover, text lines is extracted in the image based on the computed number of run-lengths of consecutive 1's and 0's in the first flag vector. Also, vertical projection is performed on the text lines to obtain a second flag vector for the text lines. Further, a number of run-lengths of consecutive 1's and 0's is computed in the second flag vectors. Furthermore, text is localized in the image based on the computed number of run-lengths of consecutive 1's and 0's in the second flag vectors.