Abstract: An apparatus and method for assessing security risk for digital resources are described. The apparatus includes at least a processor and a memory communicatively coupled to the at least a processor. The memory includes instructions configuring the at least a processor to receive digital resource data about a plurality of digital resources in a digital environment, calculate a resource significance score for each digital resource based on the digital resource data, determine at least one critical resource as a function of the resource significance score, and analyze a digital security risk associated with the at least one critical resource.

Abstract: Systems, software, and methods for evaluating the scope of computer system changes related to automatic migration from one set of computing hardware to another provide methods and techniques that include evaluations for compliance with one or more policies prior to implementation, and then sequence and automate the migration tasks. A domain-specific language describes activity specifications and asset metadata, which is then used to generate interdependent activities in a project workstream on the basis of stored expert knowledge embedded in knowledge templates. Disaster recovery and “what-if” migration scenarios are tested in order to test and compare options of one or more proposed infrastructure changes.

Abstract: An apparatus and method for updating cyber security support based on real time changes are provided. The apparatus includes a processor and a memory communicatively coupled to the at least a processor. The memory contains instructions configuring the at least a processor to receive a cyber profile associated with a digital environment and receive a risk profile associated with the cyber profile. Further, the memory contains instructions configuring the at least a processor analyze the cyber profile and the risk profile and calculate a cyber-attack safeguard quantifier for a cyber-attack safeguard based on the analysis of the cyber profile and risk profile. Additionally, the memory contains instructions configuring the at least a processor monitor for a digital environment variation and update the cyber-attack safeguard quantifier.

Abstract: An unmanned aerial vehicle-based data collection and distribution system includes a source of animal data that can be transmitted electronically. The source of animal data includes at least one sensor. The animal data is collected from at least one target individual. The system also includes an unmanned aerial vehicle that receives the animal data from the source of animal data as a first set of received animal data and a home station that receives the first set of received animal data. Characteristically, the unmanned aerial vehicle includes a transceiver operable to receive signals from the source of animal data and to send control signals to the source of animal data.

Abstract: A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid).

Abstract: The present disclosure generally relates to systems and methods for user authentication and data management. Information involving a user's interactions with an online platform is stored on a user device that is used to access the platform. Such information may include user authentication information, personal information, and an interaction history of events, such as logins, purchases, and checkouts. When providing information to the online platform, the user is given the option of what information to provide and, in some cases, the user may opt to provide tokenized information in lieu of sensitive information that the user would prefer not to share. Also, the user may selectively provide information about his or her interaction history, thereby permitting the online platform to establish a trust level of the user using information from the user device.

Abstract: A device for detection of surface defects on a terminal surface of an optical fiber. The device includes a digital microscope configured to capture an image of a terminal surface; and a mechanism for analyzing the image configured to detect surface defects present on the terminal surface, the analysis mechanism integrating a “U-Net”-type neural network having had its training phase carried out via an enhancer. The enhancer is configured to create training images, intended to train the neural network, based on reference images. The training images are obtained from the reference images by only applying flips, rotations and/or luminosity, contrast, or shade variations to the reference images.

Abstract: A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid).

Abstract: An apparatus and method for determining a risk associated with a cyber-attack are provided. The apparatus includes a processor and a memory communicatively coupled to the at least a processor. The memory contains instructions configuring the at least a processor to receive a cyber profile associated with a digital environment. The processor is further configured to receive risk assessment category data associated with the cyber profile and determine a digital environment risk record based on the risk assessment category data. In addition, the processor is configured to generate a user interface data structure configured to display the determined risk record.

Abstract: A system and method are disclosed for storing, processing and retrieving information. A data store, a data recipient and a data processing machine are provided, the data store and the data recipient both being connectable to each other and to the data processing machine via a potentially insecure communications network, and the data store being adapted to selectively provide information to the data processing machine and to the data recipient on receipt of one or more suitable instructions from the data processing machine, and the data processing machine being adapted to provide instructions to the data store based on a set of pre-determined rules, so that information is provided by the data store to the data recipient only when pre-determined conditions are met.

Abstract: A method and system for scanning claims data, the method comprising receiving, by a computing system, contract details associated with claims, receiving, by the computer system, prescription transactions data associated with the claims, parsing, by the computer system, the transactions data into column values, and executing, by the computer system, analytics on the parsed transactions. The analytics include comparing the parsed transactions against the contract details for accurate pricing, fees, and accepted treatment protocols concerning dose and quantity, comparing the parsed transactions with independent pricing data that is based on third-party pricing data and drug information, identifying material errors in the parsed transactions, determining withholdings from payment of the claims for a portion above a tolerance level based on the identified material errors. The method further comprising presenting, by the computer system, results of the execution of the analytics to a portal.

Abstract: A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid).

Abstract: A system, method, server, and computer readable medium for tracking goal progression. Input is received establishing one or more clients. The one or more clients are individuals receiving treatment or assistance. Each of the one or more clients are assigned to one or more providers in response to selections from an administrator. The one or more providers include at least individuals available to treat or assist each of the one or more clients and one or more biometric devices associated with the one or more clients. Goals are established for each of the one or more clients. Data associated with each of the one or more clients is compiled as received from the one or more providers in the server. A determination is made where the goals are being met in response to the thresholds for the compiled data. Alerts are automatically communicated in response to the compiled data varying from a threshold to become significant for one of the one or more clients.

Abstract: A gateway encryption service is used to ensure consistent, source independent tokenization for payment accounts and synchronizing payment account information with merchants. A consistent, evergreen merchant-facing token is generated and used for each payment account for the merchant, ensuring that regardless of the payment method used by the customer (e.g., plastic card point-of-sale, pay wallet, saved card information) for the same underlying account, the merchant has a single token. Further, if the account number for the underlying payment account changes (e.g., the card expires or is stolen) the merchant-facing token remains consistent. The evergreen token ensures that the system functions more efficiently, saving resources in processing and storage and ensuring less network traffic for failed transactions. The system further implements encryption and security despite the consistent tokenization, further saving resources.

Abstract: A method for storage system data aware compression, the method may include pre-compressing data units received by the storage system, by different pre-compression units to provide different pre-compressed versions of the data units; wherein the different pre-compression schemes are associated with different compression schemes, wherein at least some of the different compression schemes are data type specific compression schemes; calculating entropies of the different pre-compressed versions; and selecting a compression scheme out of the different compression schemes based on the entropies of the different pre-compressed versions.

Abstract: The disclosure provides a metadata generating system and a metadata generating method. The metadata generating system includes a storage device and a processor. The storage device stores a data acquisition module and a data analysis module. The processor is coupled to the storage device. The processor executes the data acquisition module to perform data acquisition on the original data and obtain the first data. The processor executes the data analysis module to analyze the first data and generate the second data. The data analysis module performs sample comparison on the second data to generate metadata.

Abstract: The present disclosure relates to methods for “cookieless” tracking across a wide range of websites and mobile applications. The methods do not involve the use of cookies or code on individual webs pages, and associated web or other servers and may be achieved through use of a single URL for tracking a user across multiple websites. Methods of enhanced tracking of user activity without requiring tracking pixels are also described herein.

Abstract: A method for monitoring largest file system entities of a file system that is stored in a storage system, the method may include populating, during multiple population iterations, a cache of the storage system with largest file system entities metadata; wherein a current population iteration of the multiple population iterations may include pushing, to a heap, metadata related to a set of one or more file system entities that are children of a parent file system entity that was deemed a largest file system entity of a last population iteration that preceded the current population iteration; popping the heap to provide a current largest file system entity; and storing metadata related to the current largest file system entity in the cache.

Abstract: The present invention relates to a method for recording data in a layer of a ceramic material and to a device for recording data in a layer of a ceramic material.

Abstract: Methods, systems and apparatuses, including computer programs encoded on computer storage media, are provided for generating prediction models related to targeting and acquiring customers. Thousands of variables of historical data, including data for prospects and external data, are used to train the prediction models. The variables are pre-processed, then sensitivity analysis is performed on the input variables with respect to the target. The variables with the most influence on the target are selected and added to the feature set used for training a prediction model.