A device may receive content data from a content provider, the content data including: data identifying content, and data for verifying that the content has not changed. The device may access a blockchain associated with the content data, the blockchain including validation information specifying instructions for validating the content. In addition, the device may perform, based on the validation information, validation of the content to determine a measure of confidence that the content is accurate and store results of the validation in the blockchain as a transaction. Based on the validation results, the device may perform an action.

A computer-implemented process of altering original data in a dataset, in which original data is anonymised and a digital watermark is included in the anonymised data. Anonymising the original data incurs information loss, and the process of including the digital watermark does not add significant further information loss. The original data can be a tabular file, a relational or a non-relational database, or the results of interactive database queries. Anonymising the data is achieved using one or more techniques that perturb the original data, such as tokenisation, generalisation; data blurring, synthetic record insertion, record removal or re-ordering.

Methods and processes for manufacture of an image product from a digital image. An object in the digital image is detected and recognized. Object metadata is assigned to the object, the object metadata linking sound to the object in the digital image which produced the sound. At least one cryptographic hash of the object metadata is generated, and the hash is written to a node of a transaction processing network.

Some embodiments enable distributing data (e.g., recorded video, photographs, recorded audio, etc.) to a plurality of users in a manner which preserves the privacy of the respective users. Some embodiments leverage homomorphic encryption and proxy re-encryption techniques to manipulate the respective data so that selected portions of it are revealed according to an identity of the user currently accessing the respective data.

A system for applying fingerprinting/watermarking of consumer data, and analyzing “wild files” of consumer data to assign a guilt score for a particular party who may have leaked the data, allows the owner of data sources (“Data Owners”) to identify and assert ownership of textual data that has been distributed outside of their firewall in the clear (i.e., without encryption), either intentionally or unintentionally, and assign guilt to parties misusing the data. The system can be used by Data Owners who transmit, lease, or sell data to individuals or organizations (“Trusted Third Parties” or “TTPs”) to recognize and assert ownership of their data in the case where one or more TTPs leaks the data (the leaked file is defined as a “Leaked Subset”) into the hands of others (“Bad Actors”) who either knowingly or unknowingly use the data illegally.

Methods and processes for manufacture of an image product from a digital image. An object in the digital image is detected and recognized. Object metadata is assigned to the object, the object metadata linking sound to the object in the digital image which produced the sound. At least one cryptographic hash of the object metadata is generated, and the hash is written to a node of a transaction processing network.

Methods and processes for manufacture of an image product from a digital image. An object in the digital image is detected and recognized. Object metadata is assigned to the object, the object metadata linking sound to the object in the digital image which produced the sound. At least one cryptographic hash of the object metadata is generated, and the hash is written to a node of a transaction processing network.

Methods and processes for manufacture of an image product from a digital image. An object in the digital image is detected and recognized. Object metadata is assigned to the object, the object metadata linking sound to the object in the digital image which produced the sound. At least one cryptographic hash of the object metadata is generated, and the hash is written to a node of a transaction processing network.

Generally discussed herein are systems, devices, and methods for device verification. A method can include providing, by test equipment (TE), electrical stimulus consistent with a challenge of a challenge response pair (CRP) to a physical unclonable function (PUF) of a device under test (DUT), receiving, by the TE and from the DUT, a response to the electrical stimulus, comparing, by the TE, the provided response to responses to CRPs in a database including PUF CRPs associated with a device identification and a device type, and validating the identity of the DUT when the response of the PUF to the electrical stimulus matches the response of the CRP or invalidating the identity of the electrical device when the response of the PUF does not match the response of the CRP.

Methods and systems for secure media processing may be used to execute and certify a digital media asset by verifying that the digital media asset is authentic and has not been altered since capture. In some cases, these secure media processing techniques may be used in the mobile certification and execution application and a corresponding server system. The mobile application and the corresponding server system may automatically generate finalized documents upon receiving certified digital media and the corresponding metadata from the users. The digital media and other information from the users may be received while the user is in communication with other users. A biometric and artificial intelligent feature recognition system may be utilized to receive biometric data and verify identity. Data transferred to a secure server are accessible by various parties involved in the certification and execution process to provide transparency.