Disclosed approaches for validating initialization vectors determining by a configuration control circuit whether or not an input initialization vector is within a range of valid initialization vectors. In response to determining that the initialization vector is within the range of valid initialization vectors, the configuration control circuit decrypts the ciphertext into plaintext using the input initialization vector and configures a memory circuit with the plaintext. In response to determining that the first initialization vector is outside the range of valid initialization vectors, the configuration control circuit signals that the first initialization vector is invalid.

A scheme for securely transferring a patient data file to an intended recipient regardless of a transfer mode selected by a sender. Encryption system executing at the sender device is operative to encrypt each plaintext data line of a file, one by one, using a symmetric key and a starting IV that is incremented per each line, resulting in corresponding ciphertext lines added to an encrypted file. A hash is generated based on the encrypted file. An encrypted header containing the symmetric key, starting IV and the hash is generated using a public key of the recipient, which is appended to the encrypted file. The encrypted header and associated encrypted file are transmitted to the recipient in any manner. Upon receipt, the recipient decrypts the encrypted header using a private key to obtain the symmetric key, starting IV and the hash, which are used by the recipient to validate and decrypt the encrypted file on a line-by-line basis.

A decentralized public key management system for named data networks based on blockchain, which solves the Compromised Certificate Authority (CA) Problem. The system divides the power of an individual CA among multiple Public Key Miners (PKMiners) that maintain the public key blockchains. The majority rule in name-principal validation allows the present invention to tolerate compromised PKMiners without causing any damage.

A diamond asset comprising one or more diamonds and an encryption chip is used to asset-back a cryptographic token that can be used to conduct transactions. The cryptographic token is written to a blockchain using a smart contract that is configured to enable a transaction associated with the token in response to two or more of: a signature by the encryption chip, a signature by the owner of the diamond asset, and a validation of a visual layout of the diamond asset.

In one embodiment, a processor includes a memory hierarchy and a core coupled to the memory hierarchy. The memory hierarchy stores encrypted data, and the core includes circuitry to access the encrypted data stored in the memory hierarchy, decrypt the encrypted data to yield decrypted data, perform an entropy test on the decrypted data, and update a processor state based on a result of the entropy test. The entropy test may include determining a number of data entities in the decrypted data whose values are equal to one another, determining a number of adjacent data entities in the decrypted data whose values are equal to one another, determining a number of data entities in the decrypted data whose values are equal to at least one special value from a set of special values, or determining a sum of n highest data entity value frequencies.

Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle accident, in particular, determining fault as part of the subrogation process. An exemplary embodiment may include receiving an electronic notification of a vehicle collision; receiving sensor data (such as telematics, image, audio, vehicle operational, or other sensor data) related to the vehicle collision; determining a percentage of fault of the vehicle collision for one or more vehicles, vehicle systems, and/or drivers based upon, at least in part, analysis of the sensor data collected; and creating a blockchain for the vehicle collision with one or more links to the sensor image data and an indication of the percentage of fault(s) determined to facilitate blockchain-based claim handling.

Provided are a random number generation device and the like capable of calculating a high precision random number using a memory capacity selected irrespective of the precision of the random number. A random number calculation device is configured to generate first random numbers based on given number and specify, for the given number of second random numbers in a target numeric extent, bin range depending on the first random numbers based on frequency information representing cumulative frequency regarding a frequency of numeric extent including respective second random numbers among given numeric extents, the numeric extent being determined in accordance with a desirable precision.

A system and method are disclosed for the collection and aggregation of data from contributing members of a community, such as health-related, personal, genomic, medical, and other data of interest for individuals and populations. Contributors become members of a community upon creation of an account and providing of data or files. The data is received and processed, such as to analyze, structure, perform quality control, and curate the data. Value or shares in one or more community databases are computed and attributed to each contributing member. The data is controlled to avoid identification or personalization. Steps are taken to determine incompleteness and incorrectness of the data, and the data may be improved or completed automatically, based upon interaction with members, additional contributions of data, and so forth.

Data security and privacy are improved by a client providing a hashed version of collected data to a remote analysis service, and having the analysis service determine the relevancy of the data from the hashes before requesting the plaintext of the data. In one example, a browser plug-in obtains data which is divided into overlapping three-character sequences, and the sequences are hashed to produce a sequence of hashes. The sequence of hashes is sent by the plug-in to the remote service, which uses the hashes to determine if the associated data is relevant to the analysis performed by the remote service, without requiring access to the associated plaintext. After making the determination, the remote service may request that relevant data be provided to the service in plaintext form, while data that is not relevant need not be sent to the remote service.

Systems and methods of the present disclosure leverage distributed ledger technology (DLT) to provide decentralized control of cooperative tasks performed by a plurality of robots. Characteristics of the plurality of robots may be stored in a distribute ledger, which may be provided by a blockchain or a distributed database system. When a service request is received, a set of tasks may be identified for providing the requested service and the robot characteristics recorded to the distributed ledger may be used to identify a list of candidate robots possessing characteristics corresponding to the set of tasks may be identified. A smart contract may be utilized to select one or more candidate robots for performing the task and to verify the selected robot(s) successfully completed the task. State information associated with operation of the selected robot(s) may be monitored to verify task completion.