Abstract: A method of protecting an endpoint against a security threat detected at the endpoint, wherein the endpoint includes, in memory pages of the endpoint, an operating system (OS), a separate software entity, and remediation code, includes the steps of: transferring control of virtual CPUs (vCPUs) of the endpoint from the OS to the separate software entity; and while the separate software entity controls the vCPUs, storing, in an interrupt dispatch table, an instruction address corresponding to an interrupt, wherein the remediation code is stored at the instruction address, and replacing a next instruction to be executed by the OS, with an interrupt instruction, wherein the interrupt is raised when the OS executes the interrupt instruction, and the remediation code is executed as a result of handling of the interrupt that is raised.

Abstract: A unit cell of an interwoven lattice structure having an interwoven point therein. The unit cell includes first, second, third, and fourth struts each having an interwoven node offset from the interwoven point. The first strut has a first interwoven node offset from a first diagonal unit cell plane in a first distance and first direction. The second strut has a second interwoven node offset from the first diagonal unit cell plane in a second distance and second direction opposite the first direction. The third strut has a third interwoven node offset from a second diagonal unit cell plane in a third distance and third direction. The fourth strut has a fourth interwoven node offset from the second diagonal unit cell plane in a fourth distance and fourth direction opposite the third direction. The first and second diagonal unit cell planes both pass through the interwoven point.

Abstract: Classification of the user of an attention application is moved from the cloud, where the classification is performed by advertisers based on trackers that follow a user, to the attention application itself. A user of the attention application controls inputs to the classification model and can exclude sensitive privacy information from inclusion in the classification model. The classification model is applied locally at the attention application to a catalog of advertisements and without revealing to trackers and advertisers whether attention was paid to particular ads. An analytics provider may have increased access to attention applications and can form ad campaigns and provide performance data thereon to advertisers without infringing attention user privacy. The system directs value away from trackers and advertisers and to attention application users and publishers.

Abstract: To provide user data to third-party services in a privacy compliant manner, an edge computing device within a content delivery network receives user data generated based on user interactions with web or application content from a client device proximate to the edge computing device, stores user biographical information, and performs a consent validation of the user data with respect to at least one third-party service. In response to determining that the user data passes the consent validation with respect to the third-party service, the edge computing device provides the user data to the third-party service.

Abstract: Classification of the user of an attention application is moved from the cloud, where the classification is performed by advertisers based on trackers that follow a user, to the attention application itself. A user of the attention application controls inputs to the classification model and can exclude sensitive privacy information from inclusion in the classification model. The classification model is applied locally at the attention application to a catalog of advertisements and without revealing to trackers and advertisers whether attention was paid to particular ads. An analytics provider may have increased access to attention applications and can form ad campaigns and provide performance data thereon to advertisers without infringing attention user privacy. The system directs value away from trackers and advertisers and to attention application users and publishers.

Abstract: Classification of the user of an attention application is moved from the cloud, where the classification is performed by advertisers based on trackers that follow a user, to the attention application itself. A user of the attention application controls inputs to the classification model and can exclude sensitive privacy information from inclusion in the classification model. The classification model is applied locally at the attention application to a catalog of advertisements and without revealing to trackers and advertisers whether attention was paid to particular ads. An analytics provider may have increased access to attention applications and can form ad campaigns and provide performance data thereon to advertisers without infringing attention user privacy. The system directs value away from trackers and advertisers and to attention application users and publishers.

Abstract: Methods and systems for presenting advertisements based on user interactivity with a web page are provided. According to embodiments of the invention, a web page is rendered on a client device. Gesture interactivity with the web page is monitored on the client device. A trigger is executed which defines an interactive event. When the interactive event occurs, as determined based on the monitored gesture interactivity with the web page, secondary content, such as an advertisement, is downloaded and displayed on the client device.

Abstract: Methods and systems for presenting advertisements based on user interactivity with a web page are provided. According to embodiments of the invention, a web page is rendered on a client device. Gesture interactivity with the web page is monitored on the client device. A trigger is executed which defines an interactive event. When the interactive event occurs, as determined based on the monitored gesture interactivity with the web page, secondary content, such as an advertisement, is downloaded and displayed on the client device.

Abstract: A network management system includes a network management server and one or more clients initiating network management messages between the server and network elements. The server parses the network management messages and communicates each message to client consoles having filtering criteria satisfied by the contents of the message.