Abstract: Computer system security is improved by implementing zero-trust principles for management of source codes in a software development lifecycle. In some embodiments, a source code may be processed with a natural language processor to attribute the source code to its particular developer. Further, a machine learning algorithm may be applied to data related to the coding behavior of the code developer to identify any behavioral anomalies of the code developer in developing the source code. In addition, the interaction, of applications executing in an execution environment of an organization's network of managed compute facilities, with the various components of the network may be analyzed with a machine learning algorithm to identify code execution anomalies.

Abstract: Computer system security is improved by implementing zero-trust principles for management of source codes in a software development lifecycle. In some embodiments, a source code may be processed with a natural language processor to attribute the source code to its particular developer. Further, a machine learning algorithm may be applied to data related to the coding behavior of the code developer to identify any behavioral anomalies of the code developer in developing the source code. In addition, the interaction, of applications executing in an execution environment of an organization's network of managed compute facilities, with the various components of the network may be analyzed with a machine learning algorithm to identify code execution anomalies.

Abstract: Computer system security is improved by implementing zero-trust principles for management of source codes in a software development lifecycle. In some embodiments, a source code may be processed with a natural language processor to attribute the source code to its particular developer. Further, a machine learning algorithm may be applied to data related to the coding behavior of the code developer to identify any behavioral anomalies of the code developer in developing the source code. In addition, the interaction, of applications executing in an execution environment of an organization's network of managed compute facilities, with the various components of the network may be analyzed with a machine learning algorithm to identify code execution anomalies.

Abstract: Implementations of the present disclosure are directed to a method, a system, and an article for updating a computer game or other application client using social media data for one or more users. An example method can include: providing, on a client device, a computer game having a set of gameplay characteristics; obtaining information about a user of the client device from a social media provider; determining at least one condition of the user based on the obtained information; modifying at least one of the gameplay characteristics according to the at least one condition; and providing, on the client device, a modified version of the computer game including the at least one modified gameplay characteristic.

Abstract: Implementations of the present disclosure are directed to a method, a system, and an article for updating a game or other application using data associated with a geographical location of a user. An example method can include: providing, on a client device, a game having a set of gameplay characteristics; determining a geographical location of the client device; determining at least one condition of the geographical location; modifying at least one of the gameplay characteristics according to the at least one condition; and providing, on the client device, a modified version of the game including the at least one modified gameplay characteristic.

Abstract: Disclosed is a packet forwarding apparatus and method for a virtualization switch, applicable to switch environments built by Internet Small Computer System Interface (iSCSI) connections. The packet forwarding apparatus comprises a header extractor, a dispatcher, and a forwarding unit. After completion of the authorization for iSCSI session connections, the header extractor receives iSCSI packets and extracts the headers for the iSCSI packets. The dispatcher decides the flow directions for the received packets. The forwarding unit forwards the packets between the client-side connection and the storage-side connection of the virtualization switch, including converting virtual addresses into physical addresses for the received iSCSI packets, building the mapping between the client-side interface and the storage-side interface, and delivering the payload associated with the connections.

Abstract: Disclosed is a packet forwarding apparatus and method for virtualization switch, applicable to switch environments built by Internet Small Computer System Interface (iSCSI) connections. The packet forwarding apparatus comprises a header extractor, a dispatcher, and a forwarding unit. After completion of the authorization for iSCSI session connections, the header extractor receives at least an iSCSI packet and extracts the header for the at least an iSCSI packet. The dispatcher decides the flow directions for the received packets. The forwarding unit forwards the packets between the client-side connection and the storage-side connection, including converting the virtual address into physical address for the received iSCSI packets, building the mapping between the client-side interface and the storage-side interface, and delivering the payload associated with the connections.