Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises identifying privacy data within received data by identifying markers that are indicative of privacy data within the received data; generating a respective classification of an object within the identified privacy data; assigning values to the generated respective classification of the object based on a perceived threat level associated with the identified privacy data; and in response to determining that the assigned value of the received data triggers an alert associated with a predetermined threshold for privacy, automatically preventing distribution of the received data from a computing device to another computing device.

Abstract: Aspects of the subject disclosure may include, for example, a non-transitory, machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations including receiving a call; selecting a next carrier to handoff the call; generating a call data record (CDR) for the handoff to the next carrier; encrypting the CDR using a call encryption key, thereby creating an encrypted CDR; encrypting the encrypted CDR using a committee encryption key, thereby creating a double encrypted CDR; recording the double encrypted CDR to a blockchain; and sending the call encryption key to the next carrier. Other embodiments are disclosed.

Abstract: Log data associated with at least one user session in a network environment associated with an original user is received. A logical graph is generated using at least a portion of the received log data. One example of such a logical graph is a privilege change graph that models privilege changes between processes. Another example of such a logical graph is a user login graph that models machines with which the original user interacts. Another example of such a logical graph is a machine-server graph that clusters machines into nodes based on resources executing on the machine. The generated logical graph is used to detect an anomaly.

Abstract: Provided are systems for conducting private set intersection (PSI) techniques with multiple parties using a data repository that include at least one processor to generate a data repository, receive, from a submission entity system associated with a submission entity, a private set intersection (PSI) data query that includes a match parameter for performing the PSI data query, transmit, to the submission entity system, a data classification encryption key, wherein the data classification encryption key is associated with a data field that corresponds to a match parameter data field of the match parameter, determine whether to authorize the PSI data query on the data repository, transmit, to the submission entity system, a data authorization encryption key based on determining to authorize the PSI data query on the data repository, and perform the PSI data query on the data repository. Methods and computer program products are also provided.

Abstract: This invention relates generally to blockchain application implementations. It can be used for allowing regular users to obtain formal authorization for accessing files from blockchain powered file storage devices. Before a user accesses a file, a smart contract should be invoked and check if the user device possesses an authorized file access token which is non-fungible token and recorded in the blockchain network. Accordingly, this invention can turn a file abstractly into a token that can be traded or distributed on the internet. Furthermore, these files are encrypted by the access token and binding with it, unauthorized access or illegal copy is not possible. Eventually, Digital File becomes tradable and unique Digital Asset, which will result in a new era of e-commerce transactions. Virtual things Real.

Abstract: One example method includes creating a backup of data, creating metadata associated with the backup, hashing the backup to create a backup hash, obtaining a key from a blockchain, generating an aggregate hash of a combination that includes the key and the backup hash, and transmitting the aggregate hash to a blockchain network. Because the aggregate hash is not modifiable when stored in a blockchain, an immutable record exists that establishes when a particular backup was created.

Abstract: In a method for training a machine learning model, the method includes: segmenting, by a processor, a dataset from a database into one or more datasets based on time period windows; assigning, by the processor, one or more weighted values to the one or more datasets according to the time period windows of the one or more datasets; generating, by the processor, a training dataset from the one or more datasets according to the one or more weighted values; and training, by the processor, the machine learning model using the training dataset.

Abstract: A method and system for optimizing a learning model post-deployment. Specifically, the disclosed method and system re-optimize—i.e., re-train and/or re-validate—machine learning and/or artificial intelligence algorithms that have already been deployed into a production environment. During post-deployment, the re-optimization process may transpire following the advent of varying model re-adjustment triggers.

Abstract: A method for obtaining a blockchain structure includes providing a first data block and a second data block, wherein a first data processing rule is assigned to first data of the first data block, and a second data processing rule is assigned to second data of the second data block. The first data processing rule is linked to the second data processing rule to obtain a third data processing rule, wherein the first data processing rule is executed before the second data processing rule when the third data processing rule is executed. The second data processing rule is linked to the first data processing rule to obtain a fourth data processing rule. When the fourth data processing rule is executed, the first data processing rule is executed after the second data processing rule. The third data processing rule is stored in the second data block and the fourth data processing rule is stored in the first data block to obtain the blockchain structure.

Abstract: Logic may reduce the latency and increase the confidence in message time series (MTS) intrusion detection systems (IDSs). Logic may capture traffic on an in-vehicle network bus during a first traffic window. Logic may filter the traffic within the first traffic window to determine more than one observation window, wherein the more than observation window comprises at least a first observation window and a second observation window. Logic may evaluate the more than one observation window to determine a first output based on a first observation window and a second output based on a second observation window, the first and second outputs to indicate if an intrusion is detected. Logic may determine, based on a combination of the outputs, that the traffic during the first traffic window comprises an intrusion. Logic may output an indication of the intrusion.

Abstract: A method for establishing an externally verifiable proof of work comprises receiving a first metadata commitment value and a first validation data and receiving a second metadata commitment value and a second validation data. The method further comprises storing the first and second metadata commitment values and the first and second validation data together with timestamps for a time of receipt at the commitment database server. The method further comprises providing the second metadata commitment value and the second validation data to the first mining node for verification. If the first mining node verifies that the second mining node has analyzed the same data package as the first mining node, the method further comprises receiving the metadata characteristic of the analysis of the data package by the first mining node and storing the metadata together with a timestamp for the time of receipt at the commitment database server.

Abstract: A computer implemented method and system is described which uses blockchain technology as a storage system for data acquired from a digital twin. The blockchain can be used to generate an immutable transaction history of data produced by the digital twin. In the case of an error, failure, incident, or accident, parties of interest can then access and analyse an immutable set of data. The blockchain network can also execute a digital smart contract based on the data received from a digital twin. The invention may be used in conjunction with the Bitcoin blockchain or another blockchain protocol.

Abstract: An embodiment of an automatic key delivery system is described, An automatic key delivery system comprises the following operations. Herein, a first token is generated and provided to a first network device. Thereafter, a first key value pair, including the first token and a first key segment of a cryptographic key, is received by a first relay server and a second key value pair, including the first token and a second key segment of the cryptographic key, is received from a second relay server. In response, a second token to be provided to the first relay server and the second relay server. Thereafter, the first and second key segment are returned from the first and second relay servers based on usage of the second token as a lookup in order to recover the cryptographic key for decryption of an encrypted content from the first network device.

Abstract: Various embodiments relate to a method performed by a processor of a computing system. An example method includes matching a possession object identifier with a stored user secret, generating a decryption key using the stored user secret as an input to a password authenticated key exchange protocol, decrypting an encrypted authentication data message using the decryption key, extracting a user secret from the biometric sample, authenticating the user by matching the extracted user secret with the stored user secret, and authenticating an identity of the user by matching the biometric sample with a biometric reference template associated with the possession object identifier.

Abstract: This application relates to a system for verifying data access and a method thereof. In one aspect, the system includes a service module for receiving a data access request for an original data from a client, and sending a first verification data to the client. The system also includes a verification module for receiving a first data eigenvalue corresponding to the original data from the service module, and generating a first verification fingerprint corresponding to the first data eigenvalue. The system further includes a data module for generating the first verification data by receiving the first verification fingerprint to embed into the original data, and generating a first integrity value by hashing the first verification data. The system further includes a verification database for storing data access information comprising the first data eigenvalue, the first verification fingerprint and the first integrity value in one record identified as the original data.

Abstract: A transmission control method includes: generating a write request for writing, to a blockchain, a transaction corresponding to a deal to be recorded in the blockchain; acquiring, from a node that performs a process for writing the transaction to the blockchain, load information that indicates an amount of load pertaining to the process to be performed by the node to write the transaction to the blockchain; and transmitting the write request to the node when a period during which the amount of the load indicated by the load information is less than a threshold reaches a specified time.

Abstract: A node in a blockchain network may generate a configuration override for the blockchain network, approve the configuration override by the blockchain network, transmit the approval for the configuration override to peers in the blockchain network, and submit the configuration override to the blockchain network for validation. The validation will be based on the configuration override matching the approval.

Abstract: Disclosed herein are system, method, and device embodiments for implementing password suggestion. An embodiment operates by selecting one or more random terms from dictionary information, generating an alphanumeric string based on a password requirement, combining the one or more random terms and the alphanumeric string to form a generated password, determining a password strength of the generated password based on compromised password information, and presenting the generated password for selection by a user device when the password strength meets or exceeds a threshold value.

Abstract: Aspects of the subject disclosure may include, for example, a device with a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving a first record of sending a file and a hash for the file from a sender of the file; recording the first record on a blockchain; providing the first record to a receiver of the file; and monitoring a predetermined time period in which to receive a second record of receiving the file and the hash for the file. Other embodiments are disclosed.

Abstract: Embodiments are disclosed for a method. The method includes generating a zero-knowledge proof that proves that a hash of the scrubbed plurality of mobile telephone numbers is computed correctly in response to a complaint about a message. The method also includes generating a zero-knowledge proof that proves that the message maps to the specific template identifier in response to a complaint about the message.