Abstract: Various embodiments of a system and related methods for real-time screen recording/sharing and content sharing between a host device and a plurality of client devices in a decentralized network are disclosed.

Abstract: Embodiments of the present disclosure provide a data visualization method and apparatus, and a database server. The method includes receiving, by a database server, a data query request sent by a request side, where the data query request includes a query condition and a data graph type, acquiring data according to the query condition, where the data graph type is used for presentation of the data, and generating a data graph according to the data and the data graph type. In the embodiments of the present disclosure, a query condition and a data graph type are carried in a data query request, and a data graph is generated inside a database server. Therefore, it is unnecessary to develop software multiple times in different architectures to generate a data graph, which improves resource utilization, and has a relatively low skill requirement for an operator.

Abstract: This disclosure generally relates to computer-implemented analytics, and more particularly to systems and methods for improved security and precision in executing analytics using SDKs. In one embodiment, an analytics system is disclosed, comprising: a processor; and a memory device operatively connected to the processor and storing processor-executable instructions for: receiving an application programming interface (API) call for a service; parsing the API call to extract an API call name and one or more API call parameters; generating prediction values for one or more interpreted-data parameters; obtaining one or more analytics rules; performing an analytics operation to generate an analytics result according to the one or more analytics rules based on the generated prediction values for the one or more interpreted-data parameters and the extracted one or more API call parameters; and generating a visual representation of the analytics result.

Abstract: This disclosure generally relates to application development platforms, and more particularly to systems and methods for log generation and log obfuscation using software development kits (SDKs). In one embodiment, an application logging configuration method is disclosed, comprising: obtaining, for an application, a developer-specific log generation schema specifying at least a developer-specific set of variables to be logged and associated code line numbers; obtaining a developer-independent log generation schema specifying at least a developer-independent set of variables to be logged and associated code line numbers; extracting the specifications of the developer-specific and developer-independent sets of variables to be logged and associated code line numbers; generating an application logging schema specifying at least a combination of the developer-specific and developer-independent sets of variables to be logged and associated code line numbers; and storing the application logging schema.

Abstract: The present invention discloses a data processing device and a data processing method. The method includes: creating a multi-face solid graphics, displaying a first surface of the multi-face solid graphics on a predetermined area that is on a display interface, selecting a first dataset and a second dataset from a database and associating the first dataset and the second dataset respectively with two adjacent side edges of the first surface, dividing the first surface into multiple grids, and displaying query items; rotating the multi-face solid graphics according to a rotation instruction input by a user, so as to display a second surface on the predetermined area; re-selecting two datasets from the database and associating the two datasets respectively with two adjacent side edges of the second surface, dividing the second surface into multiple grids, and displaying query items.

Abstract: This disclosure generally relates to computer security, and more particularly to methods and systems for application programming interface (API)-level intrusion detection. In some embodiments, a computer-readable medium is disclosed, storing instructions for: receiving an API call for a service at an API sandbox module; parsing the API call to extract at least one of: an API call name; and or one or more API call parameters; generating a copy of the at least one of: the API call name and or the one or more API call parameters; determining, via an intrusion detection rules execution engine, whether the API call violates one or more security rules obtained from a security rules object, using the copy of the at least one of: the API call name and or the one or more API call parameters; and providing an indication of whether the API call violates the one or more security rules.

Abstract: This disclosure generally relates to computer-implemented analytics, and more particularly to systems and methods for improved security and precision in executing analytics using SDKs. In one embodiment, an analytics system is disclosed, comprising: a processor; and a memory device operatively connected to the processor and storing processor-executable instructions for: receiving an application programming interface (API) call for a service; parsing the API call to extract an API call name and one or more API call parameters; generating prediction values for one or more interpreted-data parameters; obtaining one or more analytics rules; performing an analytics operation to generate an analytics result according to the one or more analytics rules based on the generated prediction values for the one or more interpreted-data parameters and the extracted one or more API call parameters; and generating a visual representation of the analytics result.

Abstract: This disclosure generally relates to application development platforms, and more particularly to systems and methods for log generation and log obfuscation using software development kits (SDKs). In one embodiment, an application logging configuration method is disclosed, comprising: obtaining, for an application, a developer-specific log generation schema specifying at least a developer-specific set of variables to be logged and associated code line numbers; obtaining a developer-independent log generation schema specifying at least a developer-independent set of variables to be logged and associated code line numbers; extracting the specifications of the developer-specific and developer-independent sets of variables to be logged and associated code line numbers; generating an application logging schema specifying at least a combination of the developer-specific and developer-independent sets of variables to be logged and associated code line numbers; and storing the application logging schema.

Abstract: This disclosure generally relates to computer security, and more particularly to methods and systems for application programming interface (API)-level intrusion detection. In some embodiments, a computer-readable medium is disclosed, storing instructions for: receiving an API call for a service at an API sandbox module; parsing the API call to extract at least one of: an API call name; and or one or more API call parameters; generating a copy of the at least one of: the API call name and or the one or more API call parameters; determining, via an intrusion detection rules execution engine, whether the API call violates one or more security rules obtained from a security rules object, using the copy of the at least one of: the API call name and or the one or more API call parameters; and providing an indication of whether the API call violates the one or more security rules.