A secure method for exchanging entities via a blockchain is presented. The method comprises receiving, from a user over a communications network, an invitation to perform an exchange of entities; generating a redeem script comprising metadata; hashing the redeem script to generate a redeem script hash; sending the first script and the first script hash on a distributed hash table (DHT); and generating an invitation transaction comprising an output associated with an encrypted digital asset, and a hash of a script comprising an indication of entities to be exchanged, conditions for the exchange, and a public cryptographic key associated with the user.

In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.

A method of electronically displaying glyphs. The method includes receiving a glyph spacing, moving a first glyph toward a second glyph along an axis, identifying an intersection of a first axis coordinate of the first glyph with a second axis coordinate of the second glyph, and moving at least one of the glyphs along the axis to separate the first and second axis coordinates of the respective first and second glyphs by the glyph spacing.

An example operation may include one or more of identifying transports operating on a roadway, determining a degree of transport traffic based on the identified transports, when the degree of transport traffic has exceeded a traffic level, assigning one or more of the identified transports as a roadway manager, controlling movement of the roadway manager, and generating a roadway indicator on the roadway manager to direct the identified transports.

Disclosed herein are system, method, and computer program product embodiments for scrubbing anomalies from an expanding dataset. In an embodiment, a data sanitization system may determine whether data is anomalous to a set of data stored on a first blockchain. The data sanitization system may perform this determination using a first machine learning algorithm trained using the set of data. Upon determining that data is anomalous, the data sanitization system may publish the data in a second blockchain different from the first blockchain. The data sanitization system may monitor data of the second blockchain and apply a second machine learning algorithm to this data to identify a pattern of anomalous data. In response to identifying the pattern, the data sanitization system may publish the anomalous data of the second blockchain to the first blockchain.

In a method for cogenerating a shared cryptographic material implemented within a first electronic device, which is connected to a second electronic cogeneration device and to a third electronic cogeneration device, a shared encryption material (pkx) is determined, as a function of a set of cogeneration parameters ECG. The shared encryption material (pkx) is transmitted, and corresponding shared encryption materials (pky, pkz) are received from the other devices. A shared seed (mx) is computed as a function of the shared encryption materials (pkx, pky, pkz) and the set of cogeneration parameters ECG. A masked form (Ox) of said shared seed (mx) is transmitted, and masked forms (Oy, Oz) of corresponding shared seeds (my, mz) are received. A final seed (ad) is computed as a function of the masked forms (Ox, Oy, Oz) of the shared seeds (mx, my, mz) and the set of cogeneration parameters ECG.

Systems, methods, and devices for generating a secure join of database data are disclosed. A method creates a secure view of datapoints of a consumer account and processes, using a secure user defined function (UDF), the datapoints of the consumer account and datapoints of a provider account to generate a secure join key. The secure UDF returns a count of matching data points between the consumer account and the provider account, and the method provides the count of matching data points to the consumer account.

Disclosed are various implementations for distributing and installing packages in response to user logon events. A logon event associated with a user account is detected for a client device. A query containing a respective user account identifier is sent to a provisioning service to retrieve a set of packages to install on the client device. The set of packages are received from the provisioning service and installed on the client device.

Systems and methods of authenticating voice data using a ledger (blockchain). Examples include a scalable and seamless system that uses blockchain technologies to distribute trust of a conversation, authenticate persons in a conversation, track their characteristics and also to keep records of conversations. In some examples, smart phones, wearables, and Internet-of-Things (IoT) devices can be used to record and track conversations between individuals. These devices can each be used to create entries for the blockchain or a single device could be used to keep track of the entirety of the conversation. Fuzzy hashing may be used to compare newly created entries with previous entries on the ledger.

Disclosed are techniques and an apparatus for accessing a smart contract library that may include a number of templates of different legal contracts implementable as a smart contract between respective parties. Each template may include a number of sections having different contractual terms and conditions and fillable fields for specific contract terms. Each respective section of the number of sections includes programming code operable to enforce conformance with specific section-related contractual terms and conditions of the respective section and with any specific contract terms input to a fillable field of the respective section. A first user address generated based on cryptographic keys may be associated with a contract-creating computing device in a private blockchain. The first user address may be associated with the first user in the private blockchain. A finalized smart contract may have a smart contract address generated from the first user address and a nonce value.