User system authentication includes a service infrastructure system receiving, from the user system, an authentication request including a user account identifier, generating a first validation code by performing a hash algorithm on the user account identifier and a first timestamp associated with the authentication request, sending to an email account associated with the user account identifier, an email message including the first validation code, receiving from the user system, a verification code, in response to receiving the verification code, generating a second timestamp, validating the second timestamp, in response to determining that the second timestamp is valid, generating a second validation code by performing the hash algorithm on the user account identifier and the first timestamp associated with the authentication request, comparing the verification code and the second validation code, and authenticating the user system, in response to a determination that the verification code and the second validation code match.

Systems and methods of providing immutable records, and immutable ordering of records, in a computing system are disclosed. The computing system can be a member of a blockchain network of a plurality of blockchains. Each block can include a cryptographic digest (or hash) conforming to a minimum degree of difficulty, a nonce by which the cryptographic digest was generated in conformation with the degree of difficulty, and a list of cryptographic digests of most recent blocks of participating neighbor blockchains. Blocks may be passed between blockchains of the plurality of blockchains, which enables each member of the blockchain network to verify an immutable record of data transactions free of the mutual trust requirement of a typical blockchain environment. In conjunction with the generation of each block, an event record may be entered into an event log of the computing system wherein the block was generated. The event record, which may contain actionable instructions, requests, etc., may be transmitted to computing systems of participating neighbor blockchains, where actionable items may be acted upon. Further, the event logs of each computing system may be exchanged, compared, and adjusted to reflect the earliest appearance of each block of each participating neighbor blockchain.

A system to generate a graphical user interface to display a presentation of a set of shared user groups between users of a social networking service is described. Embodiments of the present disclosure relate generally to systems for: receiving an identification of a second user from a user account of a first user; identifying a user group that includes the first user and the second user in response to the identification of the second user from the user account of the first user; retrieving user identifiers of the first user and the second user, wherein the user identifiers may include graphical avatars; generating a group identifier based on the user identifiers; and causing display of a presentation of the user group at a client device.

Embodiments are directed to generating and training a distributed machine learning model using data received from a plurality of third parties using a distributed ledger system, such as a blockchain. As each third party submits data suitable for model training, the data submissions are recorded onto the distributed ledger. By traversing the ledger, the learning platform identifies what data has been submitted and by which parties, and trains a model using the submitted data. Each party is also able to remove their data from the learning platform, which is also reflected in the distributed ledger. The distributed ledger thus maintains a record of which parties submitted data, and which parties removed their data from the learning platform, allowing for different third parties to contribute data for model training, while retaining control over their submitted data by being able to remove their data from the learning platform.

Certain embodiments involve extracting seasonal, level, and spike components from a time series of metrics data, which describe interactions with an online service over a time period. For example, an analytical system decomposes the time series into latent components that include a seasonal component series, a level component series, a spike component series, and an error component series. The decomposition involves configuring an optimization algorithm with a constraint indicating that the time series is a sum of these latent components. The decomposition also involves executing the optimization algorithm to minimize an objective function subject to the constraint and identifying, from the executed optimization algorithm, the seasonal component series, the level component series, the spike component series, and the error component series that minimize the objective function. The analytical system outputs at least some latent components for anomaly-detection or data-forecasting.

Various embodiments relate to a method performed by a processor of a computing system. An example method includes determining a first cryptographic algorithm utilized in a first block of a first blockchain. The first block of the first blockchain has a first unique block identifier. A second cryptographic algorithm utilized in a second block of the first blockchain is determined. The second block of the first blockchain having a second unique block identifier. A first cryptographic algorithm status transition (“CAST”) event is defined if the second cryptographic algorithm is different than the first cryptographic algorithm. A first CAST record is defined upon occurrence of the first CAST event. The first CAST record includes the second cryptographic algorithm and the second unique block identifier. The first CAST record is digitally signed and stored on a second blockchain. The second blockchain may be referenced out-of-band of the first blockchain.

A system and method for trigger-based scanning of cyber-physical assets, including a distributed operating system, parameter evaluation engine, at least one cyber-physical asset, at least one crypt-ledger, a network, and a scanner that detects trigger conditions and events and performs scans of cyber-physical assets based on the trigger and any relevant stored scan rules before storing scan results as time-series data.

A system and method detects and handles replay attacks using counters maintained for each of several different periods for various values of IP addresses and browser description attributes encountered.

Systems and methods are provided for persistent login. Such persistent login may be based on linking user identity across accounts of different entities to allow each entity to maintain control over their respective sets of user data, while providing a streamlined user experience that avoids much of the repetitive need to login to different services with different login credentials (e.g., during periods of heavy use). Such persistent login may utilize a set of tokens issued and exchanged between devices of the partnering entities. Such tokens may include an access token, refresh token, and identity token. When a user associated with a first entity requests access to information secured by a second entity, such request may be associated with the access token. If the access token is determined to be expired, the refresh token may be used to refresh the access token, which may also trigger issuance of a new refresh token. The refreshed access token may be used in conjunction with the identity token to access the requested information secured by the second entity.

The present disclosure provides systems and methods for authenticating photographic data. In one embodiment, a method comprises providing an image authentication application for use on a client device, the application configured to control image capture and transmission; receiving an image data file from the application at the authentication server comprising a photographic image captured by the application and metadata associated therewith; applying a watermark to the photographic image to create a watermarked image; applying date and time information to the tagged image; applying location information to the tagged image; creating a web address associated with the image data file; uploading the photographic image, the tagged image, or both to the web address; and transmitting an authenticated image file to the client device, the authenticated image file comprising one or more of: the watermarked image, the photographic image, the date and time information, geographic information, and the web address.