Abstract: A network security monitoring and correlation system for providing a three-dimensional visualization of network traffic overlaid with security alerts and other relevant discrete data. The system may comprise an application server communicably linked to a client. The server functions to retrieve network traffic metadata and relevant discrete data associated with individual computer hosts and connections in the monitored network, process the network traffic data by building a graph data structure, and then embedding within the graph data structure one or more layers of additional information about the individual computer hosts and connections derived from the discrete data. The client functions to produce a three-dimensional visualization of the network environment by parsing the graph data structure received from the server and then spawning computer hosts and connections in the 3-D environment.

Abstract: A data processing apparatus includes a central processing unit that receives user operations for changing a portion of a document, and edits the document by a first user and a second user in parallel. The first user and the second user each have an editing right and, in response to the editing rights, an editing page is displayed differently depending on the user.

Abstract: In one embodiment, a method includes training a target machine-learning model iteratively by accessing training data of content objects, training an intermediate machine-learning model that outputs contextual evaluation measurements based on the training data, generating state-indications associated with the training data, wherein the state-indications comprise user-intents, system actions, and user actions, training the target machine-learning model based on the contextual evaluation measurements, the state-indications, and an action set comprising possible system actions, extracting rules based on the target machine-learning model by a sequential pattern-mining model, generating synthetic training data based on the rules, updating the training data by adding the synthetic training data to the training data, determining if a completion condition is reached for the training, and if the completion condition is reached returning the target machine-learning model, else repeating the iterative training of the tar

Abstract: A system for facilitating a distribution interaction session between two or more user devices through peer-to-peer connections comprises a processor associated with a server. The processor is configured to receive a request from a first user device to initiate a distribution interaction session between the first user device and a second user device via a distribution interaction application. The first user device has established a peer-to-peer connection with the second user device based on geolocation information. The processor is further configured to initiate the distribution interaction session from the distribution interaction application and to receive account information from the first user device through data streaming between the first user device and the server. The processor is further configured to determine an account associated with a first user based on the received account information and to conduct the distribution interaction session between the first user and a second user.

Abstract: A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid).

Abstract: A service management system communicates via wide area network with gateway devices located at respective user premises. The service management system remotely manages delivery of application services, which can be voice controlled, by a gateway, e.g. by selectively activating/deactivating service logic modules in the gateway. The service management system also may selectively provide secure communications and exchange of information among gateway devices and among associated endpoint devices. An exemplary service management system includes a router connected to the network and one or more computer platforms, for implementing management functions. Examples of the functions include a connection manager for controlling system communications with the gateway devices, an authentication manager for authenticating each gateway device and controlling the connection manager and a subscription manager for managing applications services and/or features offered by the gateway devices.

Abstract: An apparatus, including systems and methods, for classifying, mapping, and predicting cybercriminal activity is disclosed herein. For example, in some embodiments, an apparatus is configured to: receive cybercriminal communication (CCC) data of postings from a source forum; identify, classify, and rank a threat topic for each posting; identify a first subset of postings that includes postings assigned the threat topic classification with the greatest threat topic rank; for each posting of the first subset of postings: identify and rank the threat actor; identify a second subset of postings that includes postings associated with the threat actor assigned the greatest threat actor rank; and send, to a cybersecurity data exchange module, the CCC data of the second subset of postings and associated enriched data including the source forum, the threat topic classifications, the threat actor, the threat actor rank, or the other threat actors that mentioned the threat actor.

Abstract: Systems and methods for regulating electronic messages transmissions. A message delay system is disposed between one or more first entities and a second entity within at least one network. Electronic messages are received from among at least one the first entities and the second entity at one or more message arrival times. A message delay component applies a delay to each received electronic message, based on a predefined delay time common to all of the first entities and a first entity delay offset associated with a first entity that is associated with the received message. The first entity delay offset is based on a geographical origin of the first entity relative to a geographical origin of the second entity. Each delayed message is transmitted to a designated recipient via the network, where the designated recipient is among the second entity and the first entities.

Abstract: Aggregated health information for a managed network may be retrieved and processed in response to changes to the managed network topology, configuration, or software. In response to receiving notification that a change to a component of the managed network has occurred, a change audit analysis engine can retrieve performance indicator information from components along a traceroute including the component which underwent the change. The retrieved performance indicator information can be processed by a memory based neural network to predict an impact of the change on the aggregated health of the managed network. The predicted impact can be compared to network health information retrieved through an ongoing basis and issues can be determined based on a comparison of the predict impact and the retrieved health information.

Abstract: A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid).

Abstract: A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid).

Abstract: In one embodiment, a method includes training a target machine-learning model iteratively by accessing training data of content objects, training an intermediate machine-learning model that outputs contextual evaluation measurements based on the training data, generating state-indications associated with the training data, wherein the state-indications comprise user-intents, system actions, and user actions, training the target machine-learning model based on the contextual evaluation measurements, the state-indications, and an action set comprising possible system actions, extracting rules based on the target machine-learning model by a sequential pattern-mining model, generating synthetic training data based on the rules, updating the training data by adding the synthetic training data to the training data, determining if a completion condition is reached for the training, and if the completion condition is reached returning the target machine-learning model, else repeating the iterative training of the tar

Abstract: A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid).

Abstract: An operations management apparatus includes: a memory; and a processor coupled to the memory, the processor being configured to execute an acquiring processing that includes acquiring operations management information in communications with one or more devices, execute a monitoring processing that includes monitoring conditions of the one or more devices by transmitting or receiving a condition monitoring packet to or from the one or more devices, execute a judging processing that includes judging whether the operations management information has been worsened at the time of transmitting or receiving the condition monitoring packet, and execute a determining processing that includes determining a method of transmitting or receiving the condition monitoring packet depending on a result of judgment made by the judging processing.

Abstract: Systems and methods are provided for determining if an e-mail originating from an external source is deemed malicious and thereby preventing an out of office e-mail reply. One example method includes receiving, at a computing device of a service provider, an e-mail identified as originating from an external source, scanning the e-mail to identify at least one parameter only when an out of office reply is setup by a recipient of the e-mail, comparing the at least one scanned parameter to a set of known parameters, calculating a score of the e-mail based on the comparison of the at least one parameter to a set of known parameters, determining the e-mail to be a malicious e-mail if the score exceeds a threshold value and blocking an out of office reply based on the threshold value.

Abstract: A network device may receive configuration data identifying resource subscription thresholds associated with a plurality of respective endpoint devices and may receive traffic from the plurality of endpoint devices. The network device may process the traffic and the configuration data, with a resource allocation model, to determine that processing traffic associated with a first endpoint device requires allocating a resource of the network device, and may process the configuration data, with the resource allocation model, to identify the resource of the network device from a particular resource of the network device that is currently allocated to traffic associated with a second endpoint device. The network device may allocate the particular resource of the network device to the traffic associated with the first endpoint device, and may process the traffic associated with the first endpoint device with the particular resource to generate processed traffic.

Abstract: A loyalty switch for examining loyalty messages and routing the loyalty messages to one or more loyalty hosts and examining responses and routing the responses back to stores. Such a switch has configurable number of selector handlers pool, and the switch accepts a connection from stores and reads loyalty host information from master data to establish the connection with a loyalty host and to route messages. Each selector handler in the switch has multiple store objects that contain a routing map and connection information from companies' sites and the loyalty host.

Abstract: A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid).

Abstract: A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. The computing devices may use local caches and storing snapshots in a coherent manner when accessing the plurality of storage devices spread across multiple data centers.

Abstract: A system and method of managing user engagement with a musical playlist provides feedback for a host and allows attendees to directly engage with the host to adjust a playlist for an event or social gathering. The system includes at least one remote server, a corresponding user personal computing (PC) device, and a corresponding host PC device. The method begins by prompting the at least one host account to initiate an event session for a plurality of attendee accounts and then to designate a plurality of playlist songs with the corresponding host PC device. The event session is managed in between the host account and the plurality of attendee accounts through the remote server. A current song is played during the event session and feedback is relayed for the current song with the corresponding user PC device. The feedback is then outputted with the corresponding host PC device.