Methods and apparatus to determine main pages from network traffic are disclosed. A disclosed example non-transitory computer readable medium includes instructions which, when executed, cause at least one processor to determine patterns of uniform resource identifiers (URIs) with corresponding main pages, parse data from network traffic, identify at least one of the main pages from the data based on the patterns, and provide the identified at least one of the main pages for crediting thereof.

Systems, methods and computer-readable storage media are utilized to analyze multi-channel data based on a security model in a computer network environment. A computing system is communicatively coupled to a plurality of data channels configured to access entity data via at least one data channel communication network. A plurality of data sources configured to store entity data are associated with the respective data channels. A processing circuit is communicatively coupled to a particular data channel via a data channel communication network and is structured to receive, via the data channel, entity data comprising device connectivity data, parse properties from the device connectivity data where the properties correspond to particular security dimensions, identify vulnerabilities associated with the properties, determine vulnerability impact, and generate a multi-dimensional risk score for a target computer network environment associated with the entity.

Systems, methods and computer-readable storage media are utilized to analyze multi-channel data based on a security model in a computer network environment. A computing system is communicatively coupled to a plurality of data channels configured to access entity data via at least one data channel communication network. A plurality of data sources configured to store entity data are associated with the respective data channels. A processing circuit is communicatively coupled to a particular data channel via a data channel communication network and is structured to receive, via the data channel, entity data comprising device connectivity data, parse properties from the device connectivity data where the properties correspond to particular security dimensions, identify vulnerabilities associated with the properties, determine vulnerability impact, and generate a multi-dimensional risk score for a target computer network environment associated with the entity.

Systems and methods for creating network topology plans are provided. A method, according to one implementation, includes receiving a first constraint (number of nodes) to be set in a graph (under construction). The graph, when complete, is configured to include nodes and interconnections so as to enable each node to reach any other node via one or more interconnections. The method also includes receiving a second constraint (number of degrees) to be set with respect to each node and which defines the maximum number of interconnections that can be connected to each node. Upon determining that the graph is developed to an extent where each node is connected to at least one interconnection and every node is reachable by any other node, the method further includes performing functions to improve metrics related to a hop count that represents a number of interconnections needed for one node to reach another.

Systems and methods for creating network topology plans are provided. A method, according to one implementation, includes receiving a first constraint (number of nodes) to be set in a graph (under construction). The graph, when complete, is configured to include nodes and interconnections so as to enable each node to reach any other node via one or more interconnections. The method also includes receiving a second constraint (number of degrees) to be set with respect to each node and which defines the maximum number of interconnections that can be connected to each node. Upon determining that the graph is developed to an extent where each node is connected to at least one interconnection and every node is reachable by any other node, the method further includes performing functions to improve metrics related to a hop count that represents a number of interconnections needed for one node to reach another.

A system and method for rapid data investigation and data integrity analysis is disclosed. A data set is received by a server computer from one or more client computers connected with the server computer via a communications network, and the data set is stored in a distributed storage memory. One or more analytical processes are executed on the data set from the distributed storage memory to generate statistics based on each of the analytical processes, and the statistics are stored in a random access memory, the random access memory being accessible by one or more compute nodes, which generate a graphical representation of at least some statistics stored in the random access memory. The graphical representation of at least some statistics is then formatted for transmission to and display by the one or more client computers.

The present disclosure relates to methods, apparatus or systems for managing a map of haptic atmospheres over a topographical zone. The zone may contain relief or noticeable objects. A set of devices equipped with haptic sensors and haptic actuators is wore by a set of users spread over the topographical zone. Each device is contributing to the management of the map by sending its localized haptic measurements to a server. The server calculates and maintain the map according to these spread measurements. Client devices also send request to get a haptic effect representative of the haptic atmosphere around a second location in the topographical zone. The server calculates the response according to this second location and to the characteristics of the client.

Some embodiments provide a method for presenting a visualization of a data message flow within a logical network that is implemented across multiple sites. The method receives flow tracing data regarding the data message flow from a source endpoint in a first site to a second endpoint in a second site. The data message flow is processed according to logical forwarding elements (LFEs) implemented in at least the first and second sites. For each of the sites through which the data message flow passes, the method identifies the LFEs that process the data message flow in the site. The method presents a visualization for the data message flow. The visualization includes a separate section for each site through which the data message flow passes. Each section indicates at least a subset of the LFEs that process the data message flow in the corresponding site for the section.

Some embodiments provide a method for presenting a visualization of a data message flow within a logical network that is implemented across multiple sites. The method receives flow tracing data regarding the data message flow from a source endpoint in a first site to a second endpoint in a second site. The data message flow is processed according to logical forwarding elements (LFEs) implemented in at least the first and second sites. For each of the sites through which the data message flow passes, the method identifies the LFEs that process the data message flow in the site. The method presents a visualization for the data message flow. The visualization includes a separate section for each site through which the data message flow passes. Each section indicates at least a subset of the LFEs that process the data message flow in the corresponding site for the section.

A system and method for dynamic visual representation and analysis of a website traffic are provided. The method includes analyzing at least one website to identify its contents; generating a visual dashboard of website information, wherein the visual dashboard comprises a plurality of segments wherein each segment represents a portion of the at least one website of the identified website's contents; monitoring real-time traffic to the website; identifying, based on the monitored website traffic, a plurality of users currently browsing at least a portion of the at least one website; and generating, for each identified user of the plurality of users, access information for display on the visual dashboard, wherein an icon for each of the plurality of users is displayed within the visual dashboard and wherein the icon represents at least an interaction of each user with the portion of the at least one website.