Patent classifications
H04L9/32
MULTIPLE BLOCK ERROR CORRECTION IN AN INFORMATION HANDLING SYSTEM
An information handling system includes a first memory and a baseboard management controller. The first memory stores a first firmware partition and a second firmware partition. The baseboard management controller includes a second memory. The baseboard management controller begins execution of a DM-Verity daemon, and performs periodic patrol reads of the first firmware partition. The baseboard management controller detects one or more block failures in the first firmware partition, and stores information associated with the one or more block failures in a message box of the second memory. In response to the entire first firmware partition being scanned, the baseboard management controller switches a boot partition from the first firmware partition to the second firmware partition, and initiates a reboot of the information handling system.
Gesture-extracted passwords for authenticated key exchange
A method for gesture-based multi-factor authentication includes mapping a gesture password to a first substitution string, generating a cryptographic key using the first substitution string as an input to a password authenticated key exchange protocol, encrypting a challenge response with the cryptographic key to generate an encrypted challenge response, and transmitting, to a relying party computing system, a first authentication message comprising the encrypted challenge response and a user identifier identifying a user.
Data certification system and process for centralized user file encapsulation, encryption, notarization, and verification using a blockchain
A process for centralized user file encapsulation, encryption, notarization and verification using a blockchain and a system that certifies data in a proprietary “capsule” file format, with tamper-proof blockchain are disclosed. By utilizing a hybridization of both cloud and blockchain storage mechanisms, the present invention allows for the performant and cost-effective certification of large amounts of data. Furthermore, the generation of the capsule allows for users to store both the data payload and its digital notarization. The system then allows for users to share the capsule with others (by way of permissions enforced by the notary system) and upload it for verification of authenticity at a later point in time.
Code sign white listing (CSWL)
A system and method for efficiently managing an executable environment involving multiple code-sign certificate chains. The system and method include receiving, by one or more processors and from a client device, a request for information to verify an authorization of a code bundle, the code bundle associated with a first signed code segment and a second signed code segment. The system and method include generating, by one or more processors, a list of certificates associated with the code bundle. The system and method include transmitting, by the one or more processors and to the client device, a message comprising the list of certificates, the message causing the client device to verify the code bundle based on the list of certificates.
Methods and systems for a synchronized distributed data structure for federated machine learning
A system for an artificial intelligence synchronized distributed ledger. The system includes a computing device containing a receiving module, the receiving module designed and configured to receive an input from a remote device, parse the input to identify protected and non-protected data contained within the input, transform the protected data into a digitally signed assertion and convert the non-protected into an encrypted datastore. The computing device containing a processing module, the processing module designed and configured to receive the digitally signed assertion from the receiving module, insert the digitally signed assertion into an immutable sequential data structure, receive the encrypted datastore, retrieve at least an input, generate a record utilizing the at least a retrieved input, and perform a first machine-learning process utilizing the at least a retrieved input.
MULTI-DEVICE REMOTE ATTESTATION
Systems and methods for attesting an enclave in a network. A method includes receiving, by a first device, proof information from an application provider entity that the enclave is secure, wherein the proof information includes a public part, Ga, of information used by the enclave to derive a Diffie-Hellman key in a key generation process with the application provider entity, processing, by the first device, the proof information to verify that the enclave is secure and ensuring that Ga is authentic and/or valid, deriving, by the first device, a new Diffie-Hellman key, based on Ga and x, wherein x is a private part of information used by the first device to derive the new Diffie-Hellman key, and sending, by the first device, a message including Ga and a public part, Gx, of the information used by the first device to derive the new Diffie-Hellman key to the enclave.
Systems and methods for post-quantum cryptography communications channels
Systems, apparatuses, methods, and computer program products are disclosed for post-quantum cryptography (PQC). An example method includes transmitting a first portion of an electronic communication to a client device over a non-PQC communications channel. The example method further includes transmitting a second portion of the electronic communication to the client device over a PQC communications channel. In some instances, the first portion of the electronic communication may comprise overhead data, and the second portion of the electronic communication may comprise payload data.
Zero-knowledge proof method and electronic device
Disclosed is a method and an apparatus a zero-knowledge proof and an electronic device. That method comprise the following steps: selecting a data processing relationship, and processing private data and public data to obtain a calculation result; respectively committing the private data and the calculation result according to a commitment parameter to obtain a first commitment value and a second commitment value, wherein the commitment parameter is generated by a trusted third party; generating a non-interactive zero-knowledge proof according to the data processing relationship; wherein the commitment parameter, the first commitment value and the second commitment value are used by a verifier to verify the non-interactive zero-knowledge proof. The present disclosure solves the technical problem that bilinear pairing cannot be used in the scenario where bilinear pairing cannot be used in related technologies.
Storage architecture providing improved modification of access rights for stored data
A storage architecture and associated usage techniques are described for providing efficient modification and use of access rights for stored data. The access rights may be associated with data stored on blockchain storage, and a separate ledger storage system may be used to provide improvements for modifying access rights for such stored data. For example, groups of data may be created and stored on blockchain storage before access to the stored data groups is made available to end users, and additional information related to those stored data groups (e.g., about their access rights) may be stored in a separate ledger storage system. When a particular user later requests access rights for one of those previously stored data groups, corresponding modifications may be quickly made to the separate ledger storage system to provide the user with substantially immediate access to that stored data group.
Methods, blockchain nodes, and storage media for deploying smart contract
A computer-implemented method, non-transitory, computer-readable medium, and computer-implemented system are provided for deploying a smart contract in a blockchain network. The computer-implemented method includes: receiving, by a blockchain node in a blockchain network, a transaction for creating a smart contract, wherein the transaction comprises machine codes of the smart contract, and the machine codes of the smart contract are obtained by a compilation service provider performing Ahead of Time (AoT) compilation on bytecodes of the smart contract; determining, by the blockchain node, that the machine codes of the smart contract are obtained by a trusted compilation service provider; and in response to determining that the machine codes of the smart contract are obtained by the trusted compilation service provider, completing, by the blockchain node, a deployment of the smart contract.