Methods and systems for detecting malicious activity on a network. The methods described herein involve gathering data regarding a first state of a computing environment, executing an attack tool to simulate malicious activity in the computing environment, and then gathering data regarding a second state of the computing environment. The methods described herein may then involve generating a signature based on changes between the first and second states, and then using the generated signature to detect malicious activity in a target network.

Methods and systems for detecting malicious activity on a network. The methods described herein involve gathering data regarding a first state of a computing environment, executing an attack tool to simulate malicious activity in the computing environment, and then gathering data regarding a second state of the computing environment. The methods described herein may then involve generating a signature based on changes between the first and second states, and then using the generated signature to detect malicious activity in a target network.

In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.

In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.

Aspects of the disclosure relate to dynamically controlling access to linked content in electronic communications. A computing platform may receive, from a user computing device, a request for a uniform resource locator associated with an email message and may evaluate the request using one or more isolation criteria. Based on evaluating the request, the computing platform may identify that the request meets at least one isolation condition associated with the one or more isolation criteria. In response to identifying that the request meets the at least one isolation condition associated with the one or more isolation criteria, the computing platform may initiate a browser mirroring session with the user computing device to provide the user computing device with limited access to a resource corresponding to the uniform resource locator associated with the email message.

Aspects of the disclosure relate to dynamically controlling access to linked content in electronic communications. A computing platform may receive, from a user computing device, a request for a uniform resource locator associated with an email message and may evaluate the request using one or more isolation criteria. Based on evaluating the request, the computing platform may identify that the request meets at least one isolation condition associated with the one or more isolation criteria. In response to identifying that the request meets the at least one isolation condition associated with the one or more isolation criteria, the computing platform may initiate a browser mirroring session with the user computing device to provide the user computing device with limited access to a resource corresponding to the uniform resource locator associated with the email message.

A storage device for performing an access authority control and an operating method thereof are disclosed. The storage device including processing circuitry configured to store a plurality of security information associated with the plurality of namespaces in response to a command from the host, each of the security information including virtual machine information associated with a corresponding one of the plurality of virtual machines and unique information associated with the corresponding virtual machine, the virtual machine information including an identifier for the corresponding virtual machine, and the unique information including unique information uniquely set for the corresponding virtual machine, extract at least first information by decoding a data access request received from the host device, and abort processing of the data access request based on the security information and the extracted at least one first information.

Systems, methods, and interfaces for the management of virtual machine instances and other programmatically controlled networks are provided. The hosted virtual networks are configured in a manner such that a virtual machine manager of the virtual network may monitor activity such as user requests, network traffic, and the status and execution of various virtual machine instances to determine possible security assessments. Aspects of the virtual network may be assessed for vulnerabilities at varying levels of granularity and sophistication when a suspicious event or triggering activity is detected. Illustrative embodiments of the systems and methods may be implemented on a virtual network overlaid on one or more intermediate physical networks that are used as a substrate network.

Systems, methods, and interfaces for the management of virtual machine instances and other programmatically controlled networks are provided. The hosted virtual networks are configured in a manner such that a virtual machine manager of the virtual network may monitor activity such as user requests, network traffic, and the status and execution of various virtual machine instances to determine possible security assessments. Aspects of the virtual network may be assessed for vulnerabilities at varying levels of granularity and sophistication when a suspicious event or triggering activity is detected. Illustrative embodiments of the systems and methods may be implemented on a virtual network overlaid on one or more intermediate physical networks that are used as a substrate network.

A method for remote access includes obtaining, by a virtual private network (VPN) server, trust data of a user accessing a first network; determining, by the VPN server, a first trust level corresponding to the trust data according to a first correspondence, wherein the first correspondence comprises the trust data and the first trust level; determining, by the VPN server, a first access zone of the first network corresponding to the first trust level according to a second correspondence, wherein the second correspondence comprises the first trust level and the first access zone; and establishing, by the VPN server, a first VPN connection between a device used by the user and the first access zone.