Abstract:
A communication system includes: a control apparatus setting control information in a forwarding node(s); a forwarding node(s); and an access control apparatus. The forwarding node(s) forwards packets by using first control information set by the control apparatus and second control information for forwarding packets that do not match a matching condition(s) in the first control information set by the control apparatus from a predetermined port of the forwarding node(s). The access control apparatus includes a determination unit determining whether to generate control information for the packets forwarded from the predetermined port of the forwarding node(s) and requesting the control apparatus to generate control information.
Abstract:
A terminal communicating with a network including a forwarding device for forwarding a packet and a control device for controlling the forwarding device in accordance with a request from the forwarding device, includes a communication unit that receives a processing rule indicating that a packet for communicating with a first destination is changed so as to communicate with a second destination, from the control device, a storage unit that stores the received processing rule, and a processing unit that in a case of communicating with the network, changes a destination of a packet in accordance with a processing rule that corresponds to the packet by referring to the processing rule stored in the storage unit.
Abstract:
In a filtering setting support device, a logical/physical mapping section generates mapping information that represents a path on the layout of a network by a combination of start nodes and end nodes, the path being, for each flow identifier, from a transmission source node to a destination node, based on node physical layout information and access policy information. The access policy information manages flow information including a combination of transmission source node and destination node, by attaching a flow identifier. A filtering point analysis section specifies as a filtering point a node where a plurality of flows are co-present. A common formal rule generating section generates common formal rules that are to be set at the filtering point. A common formal rule output section presents common formal rules to a network administrator.
Abstract:
A visualization device is communicable with one or a plurality of host servers for hosting a virtual system, and includes an information acquisition unit for collecting configuration information on the virtual system and the host server, a storage unit for storing the configuration information therein, and a drawing unit for expressing a virtual machine and a virtual network configuring the virtual system with different axes based on the configuration information stored in the storage unit, expressing a connection relationship between a virtual machine and a virtual network by linking the lines extending from the respective axes, and grouping virtual machines in units of server on which the virtual machines operate thereby to generate drawing information for expressing the configuration of the virtual system and the host server.
Abstract:
A route request mediation apparatus comprises a resource management unit that manages a resource of a network to be managed; a request receiving unit that receives a route request with an added service level condition from a user or another route request mediation apparatus; a negotiation status management unit that forwards the route request to a destination specified by the route request, and manages a negotiation status based on a response from the destination; an acceptance assessment unit that assesses whether or not to accept the route request by referring to the negotiation status managed by the negotiation status management unit and to the resource management unit; and a response sending unit that responds with an assessment result that indicates whether or not the route request is accepted to the request source of the route request.
Abstract:
A communication system includes an information acquisition unit that acquires information for determining an isolation level to which a user terminal belongs, from the user terminal; an isolation level determination unit that determines an isolation level to which the user terminal belongs, based on the acquired information; an isolation level information storage unit that defines whether or not access is possible to respective access destinations for each isolation level; an access control unit that causes a forwarding node(s) to implement forwarding or dropping of a packet, in accordance with whether or not access is possible to the respective access destinations; and a forwarding node(s) that forwards a packet in accordance with control of the access control unit. Stepwise access control is realized using isolation levels.
Abstract:
A visualization device is communicable with one or a plurality of host servers for hosting a virtual system, and includes an information acquisition unit for collecting configuration information on the virtual system and the host server, a storage unit for storing the configuration information therein, and a drawing unit for expressing a virtual machine and a virtual network configuring the virtual system with different axes based on the configuration information stored in the storage unit, expressing a connection relationship between a virtual machine and a virtual network by linking the lines extending from the respective axes, and grouping virtual machines in units of server on which the virtual machines operate thereby to generate drawing information for expressing the configuration of the virtual system and the host server.
Abstract:
A method of monitoring network traffic in a communication network with a sentinel module to detect malicious activity is described. A gateway sentinel module receives network traffic directed through a gateway installed for a local distribution of the network, the gateway connecting the local distribution of the network to a core of the network. Malicious activity in the local distribution is detected based on a combination of: a local machine-learning model for identifying malicious activity in the local distribution, the local machine-learning model modelling network traffic from the local distribution; and a global machine-learning model. The global machine-learning model models network traffic from a plurality of local distributions of the network based training data from a plurality of local sentinel modules executed on a respective plurality of computing nodes. The computing nodes respectively receive network traffic from the plurality of location distributions. A corresponding device and system are also described.
Abstract:
A route request mediation apparatus comprises a resource management unit that manages a resource of a network to be managed; a request receiving unit that receives a route request with an added service level condition from a user or another route request mediation apparatus; a negotiation status management unit that forwards the route request to a destination specified by the route request, and manages a negotiation status based on a response from the destination; an acceptance assessment unit that assesses whether or not to accept the route request by referring to the negotiation status managed by the negotiation status management unit and to the resource management unit; and a response sending unit that responds with an assessment result that indicates whether or not the route request is accepted to the request source of the route request.
Abstract:
A method of monitoring network traffic in a communication network with a sentinel module to detect malicious activity is described. A gateway sentinel module receives network traffic directed through a gateway installed for a local distribution of the network, the gateway connecting the local distribution of the network to a core of the network. Malicious activity in the local distribution is detected based on a combination of: a local machine-learning model for identifying malicious activity in the local distribution, the local machine-learning model modelling network traffic from the local distribution; and a global machine-learning model. The global machine-learning model models network traffic from a plurality of local distributions of the network based training data from a plurality of local sentinel modules executed on a respective plurality of computing nodes. The computing nodes respectively receive network traffic from the plurality of location distributions. A corresponding device and system are also described.