Abstract: A control subsystem, for a utility delivery subsystem having an effector for enabling or disabling delivery of a utility from a source to an output device via a conduit, includes an effector host configured to receive the effector at a port. The effector host operates the effector in response to an instruction received via a wireless communications interface. The subsystem includes a control gateway having a two communications interfaces, a first to establish a connection with the effector host, and a second to connect to a network. The control gateway includes a memory storing schedule data received via the second interface, and a processor configured to send the instruction to the effector host via the first interface, based on the schedule data. The subsystem includes a server having a memory storing the schedule data and a server communications interface for transmitting the schedule data to the control gateway.

Abstract: Embodiments describe apparatuses, systems, and methods for analyzing digital certificates. A system may scan the internet to identify all publicly available digital certificates. The system may further determine external information for individual digital certificates that is not found within the digital certificate. The system may store the external information and internal information that is found within the digital certificates. The system may run one or more queries on the stored information to identify one or more vulnerable digital certificates among a set of digital certificates associated with a client. For example, the system may identify differences between the internal information and/or external information among the digital certificates of the set and/or may compare the internal information and/or external information for the digital certificates of the set to expected information. Other embodiments may be described and claimed.

Abstract: Individual network activities are correlated to interactions with a target web page to facilitate an analysis of the performance of the web page. This correlation is preferably performed using a combination of heuristics and rules developed to filter network activities into those activities that are likely to have been caused by the particular transaction, and those that are unlikely to be associated with that transaction. The activities that are identified as being associated with the transaction are subsequently organized to identify a time-flow of these activities within the transaction, from which performance statistics can be determined and presented to a user. Because the individual activities within the transaction are identified and time-ordered, an analysis of the effects of each activity on the overall performance of the web page can be performed to identify potential problem areas, or to diagnose reported problems.

Abstract: All of the transit services that each device is expected to provide are determined and contrasted with the transit configuration of each device. Because the transit configuration of each device may be state-dependent, the service items within each application service are processed in sequential order. Sequences of service items are associated with connection groups, and each of the routes associated with each connection group is determined based on the sequential order of the service items. The configuration of each device along each route is processed to determine the services that will be permitted or denied, based on its current configuration. Each desired transit service item is compared to the transit configuration provided by each device to identify any inconsistencies and/or violations.

Abstract: Individual network activities are correlated to interactions with a target web page to facilitate an analysis of the performance of the web page. This correlation is preferably performed using a combination of heuristics and rules developed to filter network activities into those activities that are likely to have been caused by the particular transaction, and those that are unlikely to be associated with that transaction. The activities that are identified as being associated with the transaction are subsequently organized to identify a time-flow of these activities within the transaction, from which performance statistics can be determined and presented to a user. Because the individual activities within the transaction are identified and time-ordered, an analysis of the effects of each activity on the overall performance of the web page can be performed to identify potential problem areas, or to diagnose reported problems.

Abstract: Individual network activities are correlated to interactions with a target web page to facilitate an analysis of the performance of the web page. This correlation is preferably performed using a combination of heuristics and rules developed to filter network activities into those activities that are likely to have been caused by the particular transaction, and those that are unlikely to be associated with that transaction. The activities that are identified as being associated with the transaction are subsequently organized to identify a time-flow of these activities within the transaction, from which performance statistics can be determined and presented to a user. Because the individual activities within the transaction are identified and time-ordered, an analysis of the effects of each activity on the overall performance of the web page can be performed to identify potential problem areas, or to diagnose reported problems.

Abstract: Individual network activities are correlated to interactions with a target web page to facilitate an analysis of the performance of the web page. This correlation is preferably performed using a combination of heuristics and rules developed to filter network activities into those activities that are likely to have been caused by the particular transaction, and those that are unlikely to be associated with that transaction. The activities that are identified as being associated with the transaction are subsequently organized to identify a time-flow of these activities within the transaction, from which performance statistics can be determined and presented to a user. Because the individual activities within the transaction are identified and time-ordered, an analysis of the effects of each activity on the overall performance of the web page can be performed to identify potential problem areas, or to diagnose reported problems.

Abstract: All of the transit services that each device is expected to provide are determined and contrasted with the transit configuration of each device. Because the transit configuration of each device may be state-dependent, the service items within each application service are processed in sequential order. Sequences of service items are associated with connection groups, and each of the routes associated with each connection group is determined based on the sequential order of the service items. The configuration of each device along each route is processed to determine the services that will be permitted or denied, based on its current configuration.