Abstract: Cryptocurrency based malware and ransomware detection systems and methods are disclosed herein. An example method includes analyzing a plurality of malware or ransomware attacks to determine cryptocurrency payment address of malware or ransomware attacks, building a malware or ransomware attack database with the cryptocurrency payment addresses of the plurality of malware or ransomware attacks, identifying a proposed cryptocurrency transaction that includes an address that is included in the malware or ransomware attack database, and denying the proposed cryptocurrency transaction.

Abstract: Cryptocurrency based malware and ransomware detection systems and methods are disclosed herein. An example method includes analyzing a plurality of malware or ransomware attacks to determine cryptocurrency payment address of malware or ransomware attacks, building a malware or ransomware attack database with the cryptocurrency payment addresses of the plurality of malware or ransomware attacks, identifying a proposed cryptocurrency transaction that includes an address that is included in the malware or ransomware attack database, and denying the proposed cryptocurrency transaction.

Abstract: Cryptocurrency based malware and ransomware detection systems and methods are disclosed herein. An example method includes analyzing a plurality of malware or ransomware attacks to determine cryptocurrency payment address of malware or ransomware attacks, building a malware or ransomware attack database with the cryptocurrency payment addresses of the plurality of malware or ransomware attacks, identifying a proposed cryptocurrency transaction that includes an address that is included in the malware or ransomware attack database, and denying the proposed cryptocurrency transaction.

Abstract: A data management system is disclosed for data provenance and data storage that allows multiple independent parties (who may not trust each other) to securely share data, track data provenance, maintain audit logs, keep data synchronized, comply with regulations, and handle permissioning and control who can access the data. The system leverages security guarantees derived from the computer systems already trusted to control billions of dollars of Bitcoin and Ethereum cryptocurrencies to create a secure and completely auditable system of document tracking that can be shared among untrusted parties over a computer network. Certain instances work both with public blockchains like Bitcoin and Ethereum and with private blockchains.

Abstract: Cryptocurrency based malware and ransomware detection systems and methods are disclosed herein.

Abstract: Cryptocurrency based malware and ransomware detection systems and methods are disclosed herein.

Abstract: Blockchain transaction analysis and anti-money laundering compliance systems and methods are disclosed herein. An example method includes determining entities in a proposed cryptocurrency transaction, evaluating each of the entities in the proposed cryptocurrency transaction to determine if the entities have a known risk, generating a transaction risk score for the proposed cryptocurrency transaction based on the evaluation of each of the entities, and allowing, flagging, or denying the proposed cryptocurrency transaction based on the transaction risk score.

Abstract: A data management system is disclosed for data provenance and data storage that allows multiple independent parties (who may not trust each other) to securely share data, track data provenance, maintain audit logs, keep data synchronized, comply with regulations, and handle permissioning and control who can access the data. The system leverages security guarantees derived from the computer systems already trusted to control billions of dollars of Bitcoin and Ethereum cryptocurrencies to create a secure and completely auditable system of document tracking that can be shared among untrusted parties over a computer network. Certain instances work both with public blockchains like Bitcoin and Ethereum and with private blockchains.

Abstract: The present disclosure relates generally to systems and methods for the secure management of electronic information relating to a user. In certain embodiments, systems and methods disclosed herein may allow for personal information related to a user to be used in connection with information targeting systems and methods configured to match and/or target information for delivery to a user based on the user's interests. In some embodiments, personal information relating to a user may be stored and/or managed in a personal ontology graph or other data structure including, among other things, various inferred interests of the user derived from available personal information.

Abstract: Examples are disclosed for allocating a block of persistent storage or accessing a block of persistent storage based on a storage service string that includes a universally unique identifier and associated metadata.

Abstract: According to an aspect of an embodiment, a system of using an extensible language to represent storage metadata includes a computer-readable storage medium and a processing device. The computer-readable storage medium may have stored thereon storage metadata. The processing device may be configured to write the storage metadata to the computer-readable storage medium in an extensible language format. The processing device may also be configured to manipulate the storage metadata in the extensible language format. The processing device may also be configured to transfer the storage metadata in the extensible language format.

Abstract: Examples are disclosed for allocating a block of persistent storage or accessing a block of persistent storage based on a storage service string that includes a universally unique identifier and associated metadata.

Abstract: Examples are disclosed for allocating a block of persistent storage or accessing a block of persistent storage based on a storage service string that includes a universally unique identifier and associated metadata.

Abstract: The present disclosure relates generally to systems and methods for the secure management of electronic information relating to a user. In certain embodiments, systems and methods disclosed herein may allow for personal information related to a user to be used in connection with information targeting systems and methods configured to match and/or target information for delivery to a user based on the user's interests. In some embodiments, personal information relating to a user may be stored and/or managed in a personal ontology graph or other data structure including, among other things, various inferred interests of the user derived from available personal information.

Abstract: Technologies and implementations for representing floating-point numbers in an extensible language are generally disclosed.

Abstract: The present disclosure relates generally to systems and methods for the secure management of electronic information relating to a user. In certain embodiments, systems and methods disclosed herein may allow for personal information related to a user to be used in connection with information targeting systems and methods configured to match and/or target information for delivery to a user based on the user's interests. In some embodiments, personal information relating to a user may be stored and/or managed in a personal ontology graph or other data structure including, among other things, various inferred interests of the user derived from available personal information.

Abstract: According to an aspect of an embodiment, a method of measuring physiological adaptability of a subject is described. The method may include receiving, from a first sensor, a first data signal indicating a first biological function of the subject. The method may also include receiving, from a second sensor, a second data signal indicating a second biological function of the subject. The method may also include calculating an adaptability of the subject based on the first data signal and the second data signal. The method may also include reporting the calculated adaptability.

Abstract: Technologies and implementations for representing floating-point numbers in an extensible language are generally disclosed.

Abstract: A method to combine and visualize FFT power spectrum data that utilizes more sensor information and provides a richer output display is provided. In some embodiments, all sensors are analyzed using FFT simultaneously in the frequency ranges of 0.01 Hz to 100 Hz. Gaussian Mixture Models are then used to describe the resultant power spectrum for each sensor. The power spectra from all sensors are then combined at each moment in time. The resulting power spectrum represents the most noticeable frequencies from all sensors at any time without regard to which sensor is picking up the power within a given frequency band. Some embodiments accumulate and combine these sensor-combination power spectra over long time periods and average with several bins.

Abstract: Algorithms and systems for clustering information objects. Objects including metadata may be populated within a k-dimensional grid (K-Grid). A distance function between objects may be calculated, and a cost function may be calculated. Optimization may occur over several iterations by applying random mutation operations on the K-Grid and re-calculation of the cost function.