Abstract: Embodiments disclosed herein improve data privacy and security by combining synthetic data and statutory pseudonymization to create protected data that is more effectively disconnected from the original source data. By bringing synthetic data and statutory pseudonymization techniques together, a flexible level of protection may be applied to data that strikes an appropriate balance between the ease of use of cleartext data and the aggressive protection of statutory pseudonymization. Further embodiments disclosed herein improve data privacy and security by providing a novel statistical framework that jointly quantifies different types of privacy risks in synthetic datasets and that includes attack-based evaluations for the singling out, linkability, and inference risks. According to other embodiments, the modular nature of the framework facilitates the future integration of new and potentially stronger attacks for evaluating privacy risks.

Abstract: Systems, computer-readable media, and methods for improving data privacy/anonymity and data value, wherein data related to a data subject can be used and stored, while minimizing re-identification risk by unauthorized parties and enabling data related to the data subject to be disclosed to an authorized party by granting access only to the data relevant to that authorized party's purpose, time period, place, and/or other criterion via the obfuscation of specific data values. The techniques described herein maintain this level of privacy/anonymity, while still empowering Data Subjects, e.g., consumers or customers of such authorized parties, by enabling them to request or specify their desired level of engagement with various business entities. Data Subjects may then receive privacy-respectful, trusted communication, e.g.

Abstract: Data transaction-specific data packets transmitted over a data communications network from a plurality of source computer nodes are processed. A first data packet communication session is established between one source computer node and one destination computer node to transport data transaction specific data packets over a first path through the data communications network. A second alternative data packet communication session is established between the one source computer node and the one destination computer node to transport data transaction specific data packets over a second path that is different from and bypasses the first path. When a condition based on the data transaction-specific data packets is identified, electronic processing circuitry initiates an alteration of the first data packet communication session.

Abstract: Various systems, computer-readable media, and computer-implemented methods of providing improved data privacy, anonymity and security by enabling subjects to which data pertains to remain “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent that is desired—are disclosed herein. Embodiments include systems that create, access, use, store and/or erase data with increased privacy, anonymity, and security—thereby facilitating the availability of more qualified and accurate information. When personal data is authorized by data subjects to be shared with third parties, embodiments described herein may facilitate the sharing of information in a dynamically-controlled manner that also enables the delivery of temporally-, geographically-, and/or purpose-limited information to the receiving party. In one example, the disclosed techniques may be used to functionally separate geospatial information, such that it remains “dynamically anonymous,” i.e.

Abstract: Systems, program storage devices, and methods for improving data privacy/trust/anonymity/pseudonymity and data value, wherein data related to a Data Subject can be used and stored, while minimizing re-identification risk by unauthorized parties and enabling data related to the Data Subject to be disclosed to an authorized party by granting access only to the data relevant to that authorized party's purpose, time, place, and/or other criterion via the obfuscation of specific data values. The techniques described herein maintain this level of privacy/trust/anonymity/pseudonymity, while empowering Data Subjects, e.g., consumers or customers of such authorized parties, by enabling protection of data at the desired level of engagement with various business entities. The techniques described herein also allow Data Controllers to perform General Data Protection Regulation (GDPR) and Schrems II-compliant (and surveillance-proof) data processing, via the functional separation of heterogeneous data (e.g.

Abstract: Systems, computer-readable media, and methods for improving data privacy/anonymity and data value, wherein data related to a data subject can be used and stored, while minimizing re-identification risk by unauthorized parties and enabling data related to the data subject to be disclosed to an authorized party by granting access only to the data relevant to that authorized party's purpose, time period, place, and/or other criterion via the obfuscation of specific data values. The techniques described herein maintain this level of privacy/anonymity, while still empowering Data Subjects, e.g., consumers or customers of such authorized parties, by enabling them to request or specify their desired level of engagement with various business entities. Data Subjects may then receive privacy-respectful, trusted communication, e.g.

Abstract: Systems, computer-readable media, and methods for improving data privacy/anonymity and data value, wherein data related to a data subject can be used and stored, while minimizing re-identification risk by unauthorized parties and enabling data related to the data subject to be disclosed to an authorized party by granting access only to the data relevant to that authorized party's purpose, time period, place and/or other criterion via the obfuscation of specific data values. The techniques described herein maintain this level of privacy/anonymity, while still empowering Data Subjects, e.g., consumers or customers of such authorized parties, e.g., business entities, by enabling them to request or specify their desired level of engagement with such business entities. Data Subjects may then receive privacy-respectful, trusted communication, e.g.

Abstract: Data transaction-specific data packets transmitted over a data communications network from a plurality of source computer nodes are processed. A first data packet communication session is established between one source computer node and one destination computer node to transport data transaction specific data packets over a first path through the data communications network. A second alternative data packet communication session is established between the one source computer node and the one destination computer node to transport data transaction specific data packets over a second path that is different from and bypasses the first path. When a condition based on the data transaction-specific data packets is identified, electronic processing circuitry initiates an alteration of the first data packet communication session.

Abstract: Example embodiments include a method and system for managing intraday risk conditions. Data transaction specific data messages transmitted over a data communications network from a plurality of source nodes trading an article of trade with a plurality of destination nodes are processed. The messages include account parameter information. Intraday risk condition data is associated in memory with entity identification data associated with an entity. Using the entity identification data, account parameter information included in the processed data transaction specific data messages is identified that matches the intraday risk condition data for the entity. In response to an identified match, a data transaction involving the entity submitted via a communication session to a corresponding one of the plurality of destination nodes is modified to reduce intraday risk for the entity associated with the data transaction.

Abstract: Systems, computer-readable media, and methods for improving both data privacy/anonymity and data value, wherein data related to a data subject can be used and stored, e.g., in a distributed ledger data structure, such as a blockchain, while minimizing re-identification risk by unauthorized parties and enabling data, including quasi-identifiers, related to the data subject to be disclosed to any authorized party by granting access only to the data relevant to that authorized party's purpose, time period, place and/or other criterion via the obfuscation of specific data values, e.g., pursuant to the European Union's General Data Protection Regulation (GDPR) or other similar regulatory schemes. The techniques described herein maintain this level of privacy/anonymity while still satisfying the immutability, auditability, and verification mandated by blockchain and other distributed ledger technologies (DLTs) for the decentralized storage of transactional data.

Abstract: Systems, computer-readable media, and methods for improving data privacy/anonymity and data value, wherein data related to a data subject can be used and stored, while minimizing re-identification risk by unauthorized parties and enabling data related to the data subject to be disclosed to an authorized party by granting access only to the data relevant to that authorized party's purpose, time period, place and/or other criterion via the obfuscation of specific data values. The techniques described herein maintain this level of privacy/anonymity, while still empowering Data Subjects, e.g., consumers or customers of such authorized parties, e.g., business entities, by enabling them to request or specify their desired level of engagement with such business entities. Data Subjects may then receive privacy-respectful, trusted communication, e.g.

Abstract: Systems, computer-readable media, and methods for improving both data privacy/anonymity and data value, wherein data related to a data subject can be used and stored, e.g., in a distributed ledger data structure, such as a blockchain, while minimizing re-identification risk by unauthorized parties and enabling data, including quasi-identifiers, related to the data subject to be disclosed to any authorized party by granting access only to the data relevant to that authorized party's purpose, time period, place and/or other criterion via the obfuscation of specific data values, e.g., pursuant to the European Union's General Data Protection Regulation (GDPR) or other similar regulatory schemes. The techniques described herein maintain this level of privacy/anonymity while still satisfying the immutability, auditability, and verification mandated by blockchain and other distributed ledger technologies (DLTs) for the decentralized storage of transactional data.

Abstract: Systems, computer-readable media, and methods for improving both data privacy/anonymity and data value, wherein real-world, synthetic, or other data related to a data subject can be used while minimizing re-identification risk by unauthorized parties and enabling data, including quasi-identifiers, related to the data subject to be disclosed to any authorized party by granting access only to the data relevant to that authorized party's purpose, time period, purpose, place and/or other criterion via the required obfuscation of specific data values, e.g., pursuant to the GDPR or HIPAA, by incorporating a given range of those values into a cohort, wherein only the defined cohort values are disclosed to the given authorized party. Privacy policies may include any privacy enhancement techniques (PET), including: data protection, dynamic de-identification, anonymity, pseudonymity, granularization, and/or obscurity policies.

Abstract: Systems, computer-readable media, and methods for improving both data privacy/anonymity and data value, wherein real-world, synthetic, or other data related to a data subject can be used while minimizing re-identification risk by unauthorized parties and enabling data, including quasi-identifiers, related to the data subject to be disclosed to any authorized party by granting access only to the data relevant to that authorized party's purpose, time period, purpose, place and/or other criterion via the required obfuscation of specific data values, e.g., pursuant to the GDPR or HIPAA, by incorporating a given range of those values into a cohort, wherein only the defined cohort values are disclosed to the given authorized party. Privacy policies may include any privacy enhancement techniques (PET), including: data protection, dynamic de-identification, anonymity, pseudonymity, granularization, and/or obscurity policies.

Abstract: Various systems, computer-readable media, and computer-implemented methods of providing improved data privacy, anonymity, and security by enabling subjects to which data pertains to remain “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent desired—are disclosed herein. This concept is also referred to herein as “anonosizing.” In some embodiments, the anonosizing of data may be implemented by encoding and decoding data under controlled conditions to support specific uses within designated authorized contexts. By anonosizing data controls via “identifying” and/or “associating” data elements within a population, data uses may be restricted to only those uses permissioned by a data subject or authorized third party. If new authorized data uses arise, all original data value and utility may be retained to support them—to the extent authorized by a data subject or authorized third party—but inappropriate, i.e., non-permissioned, uses of identifying information may be prevented.

Abstract: Various systems, computer-readable media, and computer-implemented methods of providing improved data privacy, anonymity, and security by enabling subjects to which data pertains to remain “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent desired—are disclosed herein. This concept is also referred to herein as “anonosizing.” In some embodiments, the anonosizing of data may be implemented by encoding and decoding data under controlled conditions to support specific uses within designated authorized contexts. By anonosizing data controls via “identifying” and/or “associating” data elements within a population, data uses may be restricted to only those uses permissioned by a data subject or authorized third party. If new authorized data uses arise, all original data value and utility may be retained to support them—to the extent authorized by a data subject or authorized third party—but inappropriate, i.e., non-permissioned, uses of identifying information may be prevented.

Abstract: An information processing system provisions a client account for a user to enable a client computer associated with the user to store information in an elastic storage system and to prohibit the client computer, the information processing system, and the elastic storage system from altering and from deleting the stored information during an authorized retention period. Data messages are received from one or more client computers and include information that is required to be stored for the authorized retention period. That information is transmitted via one or more data communications networks to the elastic storage system for storage so that the stored information is non-rewriteable and non-erasable during the authorized retention period. The secure data center receives the retrieved copy and provides it to the user device.

Abstract: Various systems, computer-readable media, and computer-implemented methods of providing improved data privacy, anonymity, and security by enabling subjects to which data pertains to remain “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent that is desired—are disclosed herein. This concept is also referred to herein as Just-In-Time-Identity, or “JITI.” Embodiments include systems that create, access, use, store and/or erase data with increased privacy, anonymity and security—thereby facilitating the availability of more qualified information—via the use of temporally unique, dynamically changing de-identifiers (“DDIDs”). In some embodiments, specialized JITI keys may be used to “unlock” different views of the same DDID (or its underlying value), thereby providing granular control over the level of detail or obfuscation visible to each user based on the context of said user's authorized use of data, e.g.

Abstract: Various systems, computer-readable media, and computer-implemented methods of providing improved data privacy, anonymity, and security by enabling subjects to which data pertains to remain “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent that is desired—are disclosed herein. This concept is also referred to herein as Just-In-Time-Identity, or “JITI.” Embodiments include systems that create, access, use, store and/or erase data with increased privacy, anonymity and security—thereby facilitating the availability of more qualified information—via the use of temporally unique, dynamically changing de-identifiers (“DDIDs”). In some embodiments, specialized JITI keys may be used to “unlock” different views of the same DDID (or its underlying value), thereby providing granular control over the level of detail or obfuscation visible to each user based on the context of said user's authorized use of data, e.g.

Abstract: Various systems, computer-readable media, and computer-implemented methods of providing improved data privacy, anonymity and security by enabling subjects to which data pertains to remain “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent that is desired—are disclosed herein. Embodiments include systems that create, access, use, store and/or erase data with increased privacy, anonymity and security, thereby facilitating the availability of more qualified and accurate information. When data is authorized by subjects to be shared with third parties, embodiments may facilitate sharing information in a dynamically controlled manner that enables delivery of temporally-, geographically-, and/or purpose-limited information to the receiving party. In one example, anonymity measurement scores may be calculated for the shared data elements so that a level of consent/involvement required by the Data Subject before sharing the relevant data elements to third parties may be specified.