Abstract: A communication system that performs communication among a plurality of nodes by a broker-less type publishing/subscribing model, the communication system including a computer including a memory and a processor configured to receive communication data among the plurality of nodes; based on the communication data, create first relationship information indicating a relationship among the nodes regarding transmission and reception of the communication data, second relationship information indicating a relationship among the nodes regarding a belonging domain and whether the nodes are on a publisher side or on a subscriber side, and third relationship information indicating a relationship among the nodes regarding a topic to be published and subscribed; and create configuration information indicating a network configuration of the communication system by associating the first relationship information, the second relationship information, and the third relationship information.

Abstract: A solid electrolytic capacitor includes a capacitor element. The capacitor element includes an anode foil including a base material part and a porous part disposed on a surface of the base material part, a dielectric layer disposed on at least a part of a surface of the anode foil, a solid electrolyte layer covering at least a part of the dielectric layer, and a cathode lead-out layer covering at least a part of the solid electrolyte layer. The anode foil includes an anode section on which the solid electrolyte layer is not disposed, a cathode formation section on which the solid electrolyte layer is disposed, and a separation section located between the anode section and the cathode formation section. A first insulating material is disposed on a surface of the porous part in the separation section. And at least a part of a region of the porous part that is covered with the first insulating material includes a second insulating material.

Abstract: An aggregation unit (15a) aggregates an input pulse train signal including a time-series pulse corresponding to a predetermined observation time into pulses for respective unit times. A calculation unit (15b) calculates a time shift amount of an autocorrelation function using the aggregated pulse train signal. A detection unit (15c) calculates an autocorrelation value and a threshold with respect to each of time shift amounts selected in ascending order from the calculated time shift amount and detects the time shift amount as a period of the aggregated pulse train signal when the autocorrelation value exceeds the threshold. A conversion unit (15d) converts the detected period to a period of the input pulse train signal using the unit time. An exclusion unit (15e) excludes the pulse train signal having the converted period from the input pulse train signal.

Abstract: In a communication system that performs communication among a plurality of nodes by a broker-less type publishing/subscribing model, in a case where a network configuration of the communication system changes, an anomaly of the communication system is detected based on configuration information indicating the network configuration and at least one of a predefined white list or black list.

Abstract: A creation device includes processing circuitry configured to collect pieces of information about IoT (Internet of Things) apparatuses connected to IoT gateways, and white lists stored in the IoT gateways, the white lists specifying content of communication allowed for each of the IoT apparatuses, calculate a feature value showing communication features of IoT apparatuses for each of the IoT gateways, and degrees of similarity in the feature value among the IoT gateways, based on the collected pieces of information about the IoT apparatuses, and extract, if any of the calculated similarity degrees is equal to or above a predetermined threshold, pieces of white list information about IoT apparatuses to mutually complement white lists stored in IoT gateways, from pieces of white list information about IoT apparatuses included in the white lists.

Abstract: An identifying device (10) includes a preprocessing (11) that extracts a communication connection pattern including a set of a communication source identifier and a communication destination identifier from traffic data, a comparing unit (131) that adds an ID to a communication connection pattern group including a new communication connection pattern not included in a whitelist when the new communication connection pattern is present in the communication connection pattern group, a graph feature amount generating unit (14) that generates a graph feature amount of the communication connection pattern group to which the ID has been added and adds this ID to the graph feature amount, an abnormality determining unit (16) that determines whether the generated graph feature amount is normal using a model (161) having learned the graph feature amount, and an identifying unit (132) that retrieves a new communication.

Abstract: A solid electrolytic capacitor includes a capacitor element. The capacitor element includes an anode foil including a base material part and a porous part disposed on a surface of the base material part, a dielectric layer disposed on at least a part of a surface of the anode foil, a solid electrolyte layer covering at least a part of the dielectric layer, and a cathode lead-out layer covering at least a part of the solid electrolyte layer. The anode foil includes an anode section on which the solid electrolyte layer is not disposed, a cathode formation section on which the solid electrolyte layer is disposed, and a separation section located between the anode section and the cathode formation section. A first insulating material is disposed on a surface of the porous part in the separation section. And at least a part of a region of the porous part that is covered with the first insulating material includes a second insulating material.

Abstract: A period estimation apparatus includes processing circuitry configured to extract candidate periods being a target of period determination from an input pulse train, use at least one of the candidate periods extracted to determine whether the at least one of the candidate periods exists as an actual period, and, when determining that the at least one of the candidate periods does not exist as the actual period, suspend the period determination for the at least one of the candidate periods, perform the period determination for the at least one of the candidate periods determined to exist as the actual period, generate a pseudo periodic pulse train, adjust, based on a differential value between the pseudo periodic pulse train generated and the input pulse train, a pulse position of the pseudo periodic pulse train, and detect a periodic pulse train according to results of the period determination and adjustment.

Abstract: Provided is an IoT GW (10), including a learning unit (131) configured to create, for each IoT device connected to the IoT GW (10), a normal communication model (122) that has learned a normal communication pattern of the IoT device; and a determination unit (132) configured to: determine, for learning by the learning unit (131), whether to interrupt, finish, continue, and resume learning based on a load of a learning environment; and control learning processing by the learning unit (131) based on a result of determination.

Abstract: An extraction unit 141 extracts predetermined pieces of information from each of a plurality of packets and sent from equipment 20. Then, an inference unit 142 infers a piece of equipment information that is information on the equipment 20, for each of the plurality of packets on the basis of the pieces of information extracted by the extraction unit 141. Then, the first selection unit 143 selects a predetermined piece of equipment information for each packet type from among pieces of equipment information on the basis of a level of detail of each piece of equipment information. Then, the second selection unit 144 selects, on the basis of a level of reliability predefined according to each packet type, a predetermined piece of equipment information corresponding to the equipment 20 from among pieces of equipment information inferred by the first selection unit 143.

Abstract: A packet collection system for collecting a packet for abnormality detection in a communication system including segments in which a packet having an encrypted payload is transmitted and received.

Abstract: A protocol identification device retrieves multiple communication data items related to multiple communications from certain source IP addresses to certain destination IP addresses; extracts, based on the multiple communication data items, multiple communications from a single transmission source port to multiple destination ports, as candidates for a first communication based on a first protocol using multiple destination ports, excludes, from among the candidates for the first communication based on the first protocol using the multiple destination ports, a second communication based on a second protocol using a single destination port, and identifies a remaining communication as the first communication based on the first protocol using the multiple destination ports.

Abstract: A communication control apparatus includes a collection control unit, an analysis unit, and a coordination unit. The collection control unit collects communication performed with a device connected to a subordinate network, and controls communication performed by the device based on a first control condition; The analysis unit analyzes the communication collected by the collection control unit to extract device identification information indicating characteristics of the communication performed by the device. The analysis unit specifies a device name of the device and the first control condition corresponding to a normal communication range extracted from the device identification information, based on the device identification information.

Abstract: Provided is an IoT GW (10), including a learning unit (131) configured to create, for each IoT device connected to the IoT GW (10), a normal communication model (122) that has learned a normal communication pattern of the IoT device; and a determination unit (132) configured to: determine, for learning by the learning unit (131), whether to interrupt, finish, continue, and resume learning based on a load of a learning environment; and control learning processing by the learning unit (131) based on a result of determination.

Abstract: An extraction unit 141 extracts predetermined pieces of information from each of a plurality of packets and sent from equipment 20. Then, an inference unit 142 infers a piece of equipment information that is information on the equipment 20, for each of the plurality of packets on the basis of the pieces of information extracted by the extraction unit 141. Then, the first selection unit 143 selects a predetermined piece of equipment information for each packet type from among pieces of equipment information on the basis of a level of detail of each piece of equipment information. Then, the second selection unit 144 selects, on the basis of a level of reliability predefined according to each packet type, a predetermined piece of equipment information corresponding to the equipment 20 from among pieces of equipment information inferred by the first selection unit 143.

Abstract: A cycle estimation device (10) includes: a candidate cycle extraction unit (11) which extracts a candidate cycle that is a cycle determination target from an input time-series pulse train; a pulse train shape analysis unit (12) which converts arrangement of the time-series pulse train into numerical values on the basis of the extracted candidate cycle and outputs a constant that adjusts a random noise threshold value of pulse repetition interval (PRI) conversion in response to an index indicating a degree of concentration of calculated numerical values; and a cycle detection unit (13) which executes PRI conversion using a value of the candidate cycle and the constant and performs cycle determination and cycle value detection.

Abstract: A communication terminal apparatus includes processing circuitry configured to collect communication of an application and control the communication of the application based on a first control condition, analyze the communication collected to determine whether the application is a communication control target, and generate the first control condition based on a normal communication range of the application that is the communication control target, and transmit at least a part of first shared information including identification information about the application and the first control condition to a second communication terminal apparatus that is different from the communication terminal apparatus.

Abstract: A period estimation apparatus includes processing circuitry configured to extract candidate periods being a target of period determination from an input pulse train, use at least one of the candidate periods extracted to determine whether the at least one of the candidate periods exists as an actual period, and, when determining that the at least one of the candidate periods does not exist as the actual period, suspend the period determination for the at least one of the candidate periods, perform the period determination for the at least one of the candidate periods determined to exist as the actual period, generate a pseudo periodic pulse train, adjust, based on a differential value between the pseudo periodic pulse train generated and the input pulse train, a pulse position of the pseudo periodic pulse train, and detect a periodic pulse train according to results of the period determination and adjustment.

Abstract: A solid electrolytic capacitor includes a capacitor element. The capacitor element includes an anode foil including a base material part and a porous part disposed on a surface of the base material part, a dielectric layer disposed on at least a part of a surface of the anode foil, a solid electrolyte layer covering at least a part of the dielectric layer, and a cathode lead-out layer covering at least a part of the solid electrolyte layer. The anode foil includes an anode section on which the solid electrolyte layer is not disposed, a cathode formation section on which the solid electrolyte layer is disposed, and a separation section located between the anode section and the cathode formation section. A first insulating material is disposed on a surface of the porous part in the separation section. And at least a part of a region of the porous part that is covered with the first insulating material includes a second insulating material.

Abstract: A cycle estimation device (10) includes: a candidate cycle extraction unit (11) which extracts a candidate cycle that is a cycle determination target from an input time-series pulse train; a pulse train shape analysis unit (12) which converts arrangement of the time-series pulse train into numerical values on the basis of the extracted candidate cycle and outputs a constant that adjusts a random noise threshold value of pulse repetition interval (PRI) conversion in response to an index indicating a degree of concentration of calculated numerical values; and a cycle detection unit (13) which executes PRI conversion using a value of the candidate cycle and the constant and performs cycle determination and cycle value detection.