A computer system architecture and method for providing compliance with data regulations, by: (a) collecting a data input stream with a data collection terminal; (b) using a compliance device driver resident in the data collection terminal to: (1) select data corresponding to pre-identified data compliance fields, and (2) apply a compliance markup language parser to generate pseudonymized data; and (c) using an automated compliance network appliance and an automated compliance server to: (1) transmit the pseudonymized data into immutable audit ledger, wherein the immutable audit ledger is assembled and verified by blockchain, and (2) transmit the data input stream into a data lake; (d) hosting access portals for accessing data: (1) stored in the data lake, and (2) stored in the immutable audit ledger.

A technique includes converting a plurality of plaintext values to a corresponding plurality of pseudonym values. The conversion includes performing encryption of the plurality of plaintext values to provide a plurality of second values; perturbing the plurality of second values to provide the plurality of pseudonym values; and controlling the perturbing to cause an ordering of the plaintext values to be represented in the plurality of pseudonym values.

A technique includes accessing data that represents a plurality of values that are associated with a plurality of ranges. The technique includes determining a pseudonym value for a given value, where the given value is associated with a given range and determining the pseudonym includes encrypting the given value to provide the pseudonym value; controlling the encryption to cause the pseudonym value to be within the given range; and tweaking the encryption based on an attribute that is associated with the given value.

Systems, methods, and software are disclosed herein to generate a customized view of a blockchain transaction. A blockchain of block entries requested by a plurality of users from user devices is maintained in a distributed network of nodes. The block entries each comprise a plurality of data portions that are each associated with an access level. A request to view one or more data portions of a block entry is received which includes an access code associated with at least one access level. The access code in the request is evaluated with the blockchain of block entries to identify one or more data portions associated with the access level. A customized view of the block entry is generated which includes the one or more data portions associated with the access level.

A new method of mobile user identification by third parties based on the SIM card and device-related parameters available in telecommunication network. Applicable to a wide scope of different industry segments: Fintech companies, digital merchants, e-government solutions and enterprises, provides enhanced platform security features and improved end users experience and transaction processing in interactions with those platforms.

In some embodiments, the present invention provides for an exemplary computer system which includes at least: a graphical user interface client; a dedicated application server; the dedicated application server is configured to connect to the graphical user interface client and an electronic source with electronic data records; where the electronic data records include real identification identifiers of real individuals; where the graphical user interface client is configured to generate at a graphical user interface that is configured to receive user authenticating credential information and to conduct a real-time electronic negotiation querying session between the user and the dedicated application server to generate a plurality of non-reversible synthetic electronic data records of a plurality of synthetic individuals, by utilizing at least one statistical technique so that the plurality of non-reversible synthetic electronic data records cannot be used to identify any real individual in the plurality of electronic data records.

Systems, methods, and software are disclosed herein to generate a customized view of a blockchain transaction. A blockchain of block entries requested by a plurality of users from user devices is maintained in a distributed network of nodes. The block entries each comprise a plurality of data portions that are each associated with an access level. A request to view one or more data portions of a block entry is received which includes an access code associated with at least one access level. The access code in the request is evaluated with the blockchain of block entries to identify one or more data portions associated with the access level. A customized view of the block entry is generated which includes the one or more data portions associated with the access level.

In one embodiment, a set of feature vectors can be derived from any biometric data, and then using a deep neural network (DNN) on those one-way homomorphic encryptions (i.e., each biometrics' feature vector) can determine matches or execute searches on encrypted data. Each biometrics' feature vector can then be stored and/or used in conjunction with respective classifications, for use in subsequent comparisons without fear of compromising the original biometric data. In various embodiments, the original biometric data is discarded responsive to generating the encrypted values. In another embodiment, the homomorphic encryption enables computations and comparisons on cypher text without decryption. This improves security over conventional approaches. Searching biometrics in the clear on any system, represents a significant security vulnerability. In various examples described herein, only the one-way encrypted biometric data is available on a given device. Various embodiments restrict execution to occur on encrypted biometrics for any matching or searching.

In one embodiment, a set of feature vectors can be derived from any biometric data, and then using a deep neural network (DNN) on those one-way homomorphic encryptions (i.e., each biometrics' feature vector) can determine matches or execute searches on encrypted data. Each biometrics' feature vector can then be stored and/or used in conjunction with respective classifications, for use in subsequent comparisons without fear of compromising the original biometric data. In various embodiments, the original biometric data is discarded responsive to generating the encrypted values. In another embodiment, the homomorphic encryption enables computations and comparisons on cypher text without decryption. This improves security over conventional approaches. Searching biometrics in the clear on any system, represents a significant security vulnerability. In various examples described herein, only the one-way encrypted biometric data is available on a given device. Various embodiments restrict execution to occur on encrypted biometrics for any matching or searching.

The present disclosure relates to a trustworthy data exchange between a first device and a second device. In some embodiments, a query is received from the second device. The query may comprise a question and an indication of a trusted authority that is to certify authenticity of information used to determine an answer to the query. In some embodiments, information related to the query is determined. In certain embodiments, credentials are received from a user for retrieving the information. In some embodiments, information related to the query is retrieved, using the credentials, from one or more data repositories storing data verified by the trusted authority. In certain embodiments, an answer to the query is determined based on the information. In come embodiments, the answer is provided to the second device. The answer may indicate that the answer is based upon information certified by the trusted authority.