Abstract: Cross-layer information associated with a software defined networking-based (SDN-based) communication network is collected. One or more updates are sent to one or more network elements in the SDN-based communication network to control one or more local decisions made at the one or more network elements. The one or more updates are based on at least a portion of the collected cross-layer information. Preferably, the collecting and sending steps are performed by a controller implementing an SDN management plane associated with the SDN-based communication network.

Abstract: Cross-layer information associated with a software defined networking-based (SDN-based) communication network is collected. One or more updates are sent to one or more network elements in the SDN-based communication network to control one or more local decisions made at the one or more network elements. The one or more updates are based on at least a portion of the collected cross-layer information. Preferably, the collecting and sending steps are performed by a controller implementing an SDN management plane associated with the SDN-based communication network.

Abstract: Disclosed is a trust management system for decision fusion in a network. The trust management system includes a detection subsystem having a plurality of sensors, and a plurality of channels. Each sensor of the plurality of sensors detects one of an occurrence and a non-occurrence of an event in the network. The trust management system further includes a fusion subsystem communicably coupled to the detection subsystem through the plurality of channels for receiving a decision of the each sensor and iteratively assigning a pre-determined weightage. The fusion subsystem ascertains a summation of respective decisions of the plurality of sensors and compares the weighted summation with a corresponding decision of the each sensor. The fusion subsystem further updates the assigned pre-determined weightage and determines the presence of the each sensor being one of a compromised sensor and a non-compromised sensor. Further disclosed is a method for decision fusion in a network.

Abstract: A computerized method for a distributed assured network system includes a plurality distributed monitoring nodes for sequential feeding the content of respective information sources to a detection agent. The detection agent uses an SPRT-based distributed sequential misbehavior detection scheme to process each MN observation with the probability of a false alarm PFA and probability of a miss detection PMD until a reliable decision can be made that either there is no malicious or faulty behavior detected, or that malicious or faulty behavior is detected. A cognitive reputation agent is provided within a DBG framework processes the output or detection metric from the detection agent relative to past behavior of the information sources to provide a reputation metric to a trust indication that provides an output representing the trustworthiness of information sources.

Abstract: Disclosed is a trust management system for decision fusion in a network. The trust management system includes a detection subsystem having a plurality of sensors, and a plurality of channels. Each sensor of the plurality of sensors detects one of an occurrence and a non-occurrence of an event in the network. The trust management system further includes a fusion subsystem communicably coupled to the detection subsystem through the plurality of channels for receiving a decision of the each sensor and iteratively assigning a pre-determined weightage. The fusion subsystem ascertains a summation of respective decisions of the plurality of sensors and compares the weighted summation with a corresponding decision of the each sensor. The fusion subsystem further updates the assigned pre-determined weightage and determines the presence of the each sensor being one of a compromised sensor and a non-compromised sensor. Further disclosed is a method for decision fusion in a network.