Systems, methods, and apparatuses for implementing commerce rewards across tenants for commerce cloud customers utilizing blockchain technologies in conjunction with a cloud based computing environment are described herein. For example, according to one embodiment there is a system having at least a processor and a memory therein executing within a host organization and having therein: means for operating a commerce cloud platform on behalf of a plurality of merchants, in which the commerce cloud platform provides at least customer payment processing on behalf of the plurality of merchants; receiving a first purchase transaction for an unknown customer from a first one of the plurality of merchants, in which the purchase transaction indicates transaction source information; creating a new global ID for the unknown customer and associating the purchase transaction and the transaction source information with the new global ID at the commerce cloud platform; allocating commerce rewards points to the unknown customer via the new global ID based on the first purchase transaction; receiving a second purchase transaction for the unknown customer from a second one of the plurality of merchants, in which the second purchase transaction indicates transaction source information for the second purchase transaction; prompting the unknown customer associated with the second purchase transaction to confirm they are associated with the first transaction based on at least a partial matching of the transaction source information associated with the first and second purchase transactions; and inviting the unknown customer to participate in a commerce rewards program to redeem the commerce rewards points. Other related embodiments are disclosed.

Technologies for compressing a blockchain. In some examples, the technologies include removing selected blocks within a blockchain, and replacing the selected blocks with a summary block and a padding block. Each block of the selected blocks includes data in a certain state (such as data in an obsolete state). The technologies can include generating the summary block and padding blocks according to the data in the selected blocks and an original root hash included in the selected blocks and other blocks of the blockchain. The generating of the summary and padding blocks can include generating a new root hash in the summary and padding blocks that only replaces the original root hash in the summary and padding blocks. The generation of the new root hash can be based on a part of a header of a non-selected block of the blockchain directly linked to an end block of selected blocks.

Information is removed from data transmitted over networks and stored in data storage facilities by generating non-informational data as an output from a series of nodes (routers, computing devices or logical routing applications) by using a function that applies random data to the data received at each node. The function may be an XOR and the random data may be a pseudorandom string of the same length as the informational data. The non-informational data may be managed normally without concern for security. When the informational data is needed it can be re-generated using the non-informational data and a cascade of the random data from the series of nodes as inputs to an inverse function (XOR is its own inverse). The random data may be generated from a smaller random seed.

The disclosed embodiments relate to virtual distributed ledger networks provisioning using distributed ledger technology. In one embodiment, a system is disclosed, comprising a hardware processor and a memory device storing instructions executable by the hardware processor to perform operations. The operations comprise creating one or more virtual machines, and executing a plurality of microservices via the one or more virtual machines. At least two of the plurality of microservices are associated with different distributed ledger technology networks. The plurality of microservices include an event routing manager microservice configured to receive a smart contract microservice request and to route events between microservices, a smart contract execution microservice configured to execute a smart contract associated with the smart contract microservice request, and a transaction resource manager microservice configured to commit an outcome of the smart contract execution microservice to a distributed ledger associated with one of the different distributed ledger technology networks.

A method for determining duplication of a vulnerability may include a vulnerability extraction step of extracting vulnerability uniform resource locator (URL) addresses including the vulnerability from an analysis target server; a hash generation step of generating the URL hash value corresponding to the extracted vulnerability from the vulnerability URL address; and a duplication determination step of determining, when the URL hash value is present in the first comparison table, that the vulnerability is duplicated and excluding the corresponding vulnerability from vulnerability information.

Some implementations of the disclosure are directed to a method, comprising: retrieving, using a device associated with an entity, a document from a system of record; uploading the document for storage in an off-chain system accessible by entities having access to a distributed ledger of a distributed ledger network, the entities comprising the entity; hashing, using the device, one or more fields contained in the document to generate a hash representing a unique reference to the document; generating, using the device, a message comprising a plurality of fields contained in the document and the hash; digitally signing, by the device, using a private key associated with the entity, the message to endorse the hash and the fields contained in the document; and after digitally signing the message, transmitting, by the device, the message to the distributed ledger network to store the hash and the fields in the distributed ledger.

Method and system for training a neural network. The neural network is split into first and second portions. A k-layer first portion is sent to a client training/inference engine and the second portion is retained by a server training/inference engine. At the splitting point, the kth layer is a one-way function in output computation has a number of nodes that are less than any other layer of the first portion. The client training/inference engine trains the first portion with input data in a set of training data. The server training/inference engine receives a batch of outputs from the client training and applies them to the second portion to train the entire neural network.

Methods, systems and computer program products for improving performance of a cryptographic algorithm are described. First, data to be encrypted/decrypted is provided as input to the system. A primary key, or multiple keys (in case of asymmetric cryptography), is generated for the encryption/decryption process. The primary key consists of metadata as well as key blocks containing secondary keys. The metadata contains information explaining how the data will be handled from algorithmic structure to the base cryptographic scheme to be used. Further, the data is split and processed via relevant portions of the key blocks. Finally, the completed encrypted/decrypted data segments are combined in order to complete the process. The used process ensures higher performance as well as higher algorithmic entropy than comparable methods in literature or on the market.

Systems and methods are provided herein for managing a vehicle fleet based on compliance regulations, and, in some embodiments, involve blockchain or other distributed ledger technologies. Systems and methods for managing a vehicle fleet based on compliance regulations may include receiving a service request, wherein the service request is a request for a passenger ride or a request for a cargo transport, receiving first information for a first node, wherein the first information comprises a vehicle size, a vehicle weight, and/or a number of seats, receiving second information comprising a first threshold number of vehicle occupants and/or a first threshold vehicle occupant weight limit, determining that the first threshold number of vehicle occupants or the first threshold vehicle occupant weight limit are exceeded, and sending an indication that the first node has not accepted the service request.

Methods are described for a data creator to securely send a data payload to another device in a transient symmetric key technology (TSKT) system, and for the other device to securely receive the payload data. One method includes receiving a first seed and a formula from a command and control server. A second seed is generated, and the first seed and the second seed are combined using the formula to create a data seed. A first key is generated using the first seed, and the second seed is encrypted using the first key to form an encrypted second seed. A second key is generated using the data seed, and the data payload is encrypted using the second key to form an encrypted data payload. The encrypted data payload and the encrypted second seed are combined in a secure container, and subsequently all keys and seeds and the formula are destroyed.