Abstract: A dynamic controlling framework that is adapted to dynamically optimize existing routing decisions in an optimized link state routing (OLSR) platform to favor higher-bandwidth, lower-latency links in the active link database. The dynamic controlling framework includes a link probing tool that is in communication with OLSR platform where the link probing tool is adapted to dynamically measure estimated bandwidth, latency scores, or both estimated bandwidth and latency scores of active links in the active link database of the OLSR platform. The dynamic controlling framework includes a plug-in framework that is in communication with the OLSR platform and the link probing tool where the plugin framework is adapted to receive at least one link quality multiplier (LQM) metric computed by the link probing tool and to combine the at least one LQM metric with the OLSR platform's existing link quality (LQ) metric for enhancing route selection by the OLSR platform.

Abstract: A cybersecurity system and method utilizing SOUND reputation, where a set of reputations are associated with each actor on a network. The actors on a network may be users, hosts, applications, and the like. The associated reputations are aggregated and updated as new information about an actor's activity is reported according to a defined and modifiable protocol, or policy. The actor's activity may be reported by one or more threat sensors. The effect of a particular misbehavior can be tuned to match the needs of the specific network. When a bad actor's reputation sinks too low, the system can take whatever action is appropriate: reports can be sent, an operator can be notified, the offender can be cut off from the network, or the like.

Abstract: A cybersecurity system and method utilizing SOUND reputation, where a set of reputations are associated with each actor on a network. The actors on a network may be users, hosts, applications, and the like. The associated reputations are aggregated and updated as new information about an actor's activity is reported according to a defined and modifiable protocol, or policy. The actor's activity may be reported by one or more threat sensors. The effect of a particular misbehavior can be tuned to match the needs of the specific network. When a bad actor's reputation sinks too low, the system can take whatever action is appropriate: reports can be sent, an operator can be notified, the offender can be cut off from the network, or the like.