Abstract: A network defense system can include a sensor alert ingestion framework adapted to monitor network activity and alert detected or suspected anomalies. A network analyzer may be coupled to the sensor alert ingestion framework to analyze the anomalies. A course of action (CoA) simulator may be coupled to the network analyzer adapted to generate a list of decision including courses of action to address the anomalies. There may be a training and feedback unit coupled to the CoA simulator to train the system to improve responses in addressing future anomalies.

Abstract: A network defense system can include a sensor alert ingestion framework adapted to monitor network activity and alert detected or suspected anomalies. A network analyzer may be coupled to the sensor alert ingestion framework to analyze the anomalies. A course of action (CoA) simulator may be coupled to the network analyzer adapted to generate a list of decision including courses of action to address the anomalies. There may be a training and feedback unit coupled to the CoA simulator to train the system to improve responses in addressing future anomalies.

Abstract: TCP sessions passing through a network, such as a wireless network, may be optimized based on conditions corresponding to the radio interface of the wireless network. In one implementation, a method may include monitoring, by a base station, performance parameters relating to a radio access network (RAN); determining, based on the performance parameters, one or more protocol data units (PDUs) to retransmit; determining one or more Transmission Control Protocol (TCP) sessions and packet sequence numbers corresponding to the one or more PDUs; and transmitting, to a network device, an indication to retransmit packets corresponding to the one or more TCP sessions and packet sequence numbers.

Abstract: A cloud-based computing infrastructure provides a network simulation software code generation service accessible by multiple users. A user-based obfuscation engine provides a network simulation model obfuscation function using masking, steganography, and model decomposition techniques applied to a provided network model to generate an obfuscated network model representation. A user-based clarification engine provides an obfuscated simulation code clarification function applied to obfuscated network simulation code to generate usable unobfuscated network simulation code that is provided to a user. The cloud-based infrastructure executes an operation generating obfuscated network simulation code for an obfuscated network model representation. The generated obfuscated code is provided by the generation service to a user-based clarification engine.

Abstract: In one of many possible embodiments, a system includes a gateway located at a subscriber premises. The gateway is configured to bridge, at the subscriber premises, a voice communication between an Internet Protocol (“IP”) network and a voice communication service available at the subscriber premises. In certain embodiments, the gateway is configured to bridge the voice communication from the IP network to at least one of a Public-Switched Telephone Network (“PSTN”) service, a Voice over Internet Protocol (“VoIP”) service, and a video phone service at the subscriber premises. In certain embodiments, a registration server communicatively coupled to the gateway by the IP network is configured to maintain registration information associated with the gateway.

Abstract: The disclosed examples provide techniques for simulation of a wireless mobile network that includes block level simulation of burst errors. The simulation allows input of a variable burst error rate to a system level simulation of a communications network. Theoretical error rates are replaced with variable burst error rates in the simulation. Injecting burst errors at the system level provides a network simulation that more realistically reflects the effects of burst errors on network performance.

Abstract: The disclosed examples provide techniques for simulation of a wireless mobile network that includes block level simulation of burst errors. The simulation allows input of a variable burst error rate to a system level simulation of a communications network. Theoretical error rates are replaced with variable burst error rates in the simulation. Injecting burst errors at the system level provides a network simulation that more realistically reflects the effects of burst errors on network performance.

Abstract: A base station associated with a cellular network may receive a request for a service from a user device. The base station may determine a current location of the user device. The base station may determine, based on the current location, a set of future locations for the user device. The base station may generate a set of schedules for the current location and the set of future locations. The set of schedules may allocate network resources to the user device at the current location and at each future location of the set of future locations. The base station may transmit the set of schedules to the user device.

Abstract: A computer-implemented method may include receiving transition information indicative of transition rates associated with a plurality of communication links in a network, wherein the network includes a plurality of nodes, the plurality of communication links, and a communication path between a first node and a second node of the plurality of nodes. In one embodiment, the communication path uses at least two of the plurality of communication links. The method may include generating biased transition information indicative of biased transition rates, wherein the biased transition rates are greater or less than the indicated transition rates and simulating the network, based on the biased transition information, until a transition associated with one of the communication links causes the communication path to transition to a different state. A network reliability parameter may be determined based on the simulation of the network.

Abstract: A method including receiving a network model including paths having dynamic path restoration capabilities; receiving network simulation information including a failure rate that indicates a rate of failure, a repair rate that indicates a rate of repair, a number of repair personnel assigned to each failure equivalence group, and a regeneration value indicating a number of regenerations to occur for each designated path during a network simulation, biasing the failure rate; determining whether one of the designated paths enters a failure state; unbiasing the failure rate when it is determined that the designated path enters the failure state; identifying when the network model returns to an operative state; ceasing an execution of the network simulation when it is determined no other designated paths are to be simulated; calculating an average time of path unavailability for each designated path simulated; and calculating path unavailability for each designated path simulated.

Abstract: A base station associated with a cellular network may receive a request for a service from a user device. The base station may determine a current location of the user device. The base station may determine, based on the current location, a set of future locations for the user device. The base station may generate a set of schedules for the current location and the set of future locations. The set of schedules may allocate network resources to the user device at the current location and at each future location of the set of future locations. The base station may transmit the set of schedules to the user device.

Abstract: A method including receiving information corresponding to a network graph of a network; determining a maximum flow value of the network based on the network graph; selecting a value for a number of trap-free shortest link-disjoint paths to find between a source node and a destination node based on the maximum flow value; selecting a value for a minimum remaining flow value based on the value for the number of trap-free shortest link-disjoint paths; and selecting a trap-free shortest link-disjoint path in which a complementary part of the network supports at least the remaining minimum flow value.

Abstract: A method including receiving network graph information of a network, wherein the network graph information includes shared risk link group (SRLG) information; determining a maximum link-and-SRLG-disjoint flow value of the network based on the network graph information; selecting a value for a number of trap-free shortest link-and-SRLG-disjoint paths to find between a source node and a destination node based on the maximum link-and-SRLG-disjoint flow value; selecting a minimum remaining link-and-SRLG-disjoint flow value based on the value for the number of trap-free shortest link-and-SRLG-disjoint paths; and selecting a trap-free shortest link-and-SRLG-disjoint path in which a complementary part of the network supports at least the minimum remaining link-and-SRLG-disjoint-flow value.

Abstract: TCP sessions passing through a network, such as a wireless network, may be optimized based on conditions corresponding to the radio interface of the wireless network. In one implementation, a method may include monitoring, by a base station, performance parameters relating to a radio access network (RAN); determining, based on the performance parameters, one or more protocol data units (PDUs) to retransmit; determining one or more Transmission Control Protocol (TCP) sessions and packet sequence numbers corresponding to the one or more PDUs; and transmitting, to a network device, an indication to retransmit packets corresponding to the one or more TCP sessions and packet sequence numbers.

Abstract: A fraud detection system receives information that identifies healthcare claims associated with providers and beneficiaries, and determines, based on the healthcare claims, first fraud sets associated with postulated classes of fraud. The fraud detection system determines, based on the healthcare claims, second fraud sets using one or more data mining techniques, and calculates probabilities that the first fraud sets and the second fraud sets are similar to no fraud observations. The fraud detection system ranks the first fraud sets and the second fraud sets based on the calculated probabilities, and outputs a ranked list of suspected fraud cases, associated with the healthcare claims, based on the ranking of the first fraud sets and the second fraud sets.

Abstract: A speech conversion system facilitates voice communications. A database comprises a plurality of conversion heuristics, at least some of the conversion heuristics being associated with identification information for at least one first party. At least one speech converter is configured to convert a first speech signal received from the at least one first party into a converted first speech signal different than the first speech signal.

Abstract: A method may include obtaining a source file at a node in peer-to-peer network and dividing the source file into a plurality of pieces. The pieces of the source file may be encoded using network coding principles. A last-modified-date (LMD) value may be appended to each of the encoded pieces, the LMD value being the same for each of the encoded pieces of the source file. The encoded pieces with the LMD values may be sent to one or more other nodes in the peer-to-peer network.

Abstract: A system may include a processing device and a routing application included on the processing device. The routing application may be configured to receive a destination location for a vehicle; determine a fuel efficiency of the vehicle; and determine a route for the vehicle from a current location to the destination location, the route being based on the fuel efficiency of the vehicle, a fuel capacity of the vehicle, an amount of fuel remaining for the vehicle, and navigation information including the location of at least one charging station.

Abstract: Apparatus and methods are provided for measuring perceptual quality of a signal transmitted over a communication network, such as a circuit-switching network, packet-switching network, or a combination thereof. In accordance with one embodiment, a distributed apparatus is provided for measuring perceptual quality of a signal transmitted over a communication network. The distributed apparatus includes communication ports located at various locations in the network. The distributed apparatus may also include a signal processor including a processor for providing non-intrusive measurement of the perceptual quality of the signal. The distributed apparatus may further include recorders operatively connected to the communication ports and to the signal processor, wherein at least one of the recorders processes the signal at one of the communication ports and the recorder sends the signal to the signal processor to measure the perceptual quality of the signal.

Abstract: A method including receiving a network model including paths having dynamic path restoration capabilities; receiving network simulation information including a failure rate that indicates a rate of failure, a repair rate that indicates a rate of repair, a number of repair personnel assigned to each failure equivalence group, and a regeneration value indicating a number of regenerations to occur for each designated path during a network simulation, biasing the failure rate; determining whether one of the designated paths enters a failure state; unbiasing the failure rate when it is determined that the designated path enters the failure state; identifying when the network model returns to an operative state; ceasing an execution of the network simulation when it is determined no other designated paths are to be simulated; calculating an average time of path unavailability for each designated path simulated; and calculating path unavailability for each designated path simulated.