Abstract: A system and method for real-time tuning of inference systems based on quality of incoming data. The method comprises: periodically receiving traffic data collected by a plurality of collectors deployed in a network; determining at least a normalized variance of a current sample of the received traffic data; estimating, based in part on the normalized variance, a standard deviation of the received traffic data and a fading coefficient of a baseline filter; determining a current baseline value based on a previous baseline value, the fading coefficient, and the current sample of the traffic data; and dynamically setting at least one membership function of the inference system based in part on the current baseline value and the standard deviation.

Abstract: A method and system for operating protection services to provide defense against cyber-attacks. The comprises generating a workflow scheme assigned to at least one protected entity, wherein the workflow scheme includes at least one operation regimen and triggering criteria associated with the at least one operation regimen; monitoring at least a plurality of protection resources to detect at least one trigger event; determining if the at least one detected trigger event satisfies the triggering criteria associated with the at least one operation regimen; and changing a state of the at least one operation regimen when the at least one detected trigger event satisfies the at least one triggering criterion, thereby causing provisioning and operating of at least one protection resource of the plurality of protection resources, wherein the provisioning is based on contents defined in the at least one operation regimen.

Abstract: A system and method for real-time tuning of inference systems based on quality of incoming data. The method comprises: periodically receiving traffic data collected by a plurality of collectors deployed in a network; determining at least a normalized variance of a current sample of the received traffic data; estimating, based in part on the normalized variance, a standard deviation of the received traffic data and a fading coefficient of a baseline filter; determining a current baseline value based on a previous baseline value, the fading coefficient, and the current sample of the traffic data; and dynamically setting at least one membership function of the inference system based in part on the current baseline value and the standard deviation.

Abstract: A method and system for operating protection services to provide defense against cyber-attacks. The comprises generating a workflow scheme assigned to at least one protected entity, wherein the workflow scheme includes at least one operation regimen and triggering criteria associated with the at least one operation regimen; monitoring at least a plurality of protection resources to detect at least one trigger event; determining if the at least one detected trigger event satisfies the triggering criteria associated with the at least one operation regimen; and changing a state of the at least one operation regimen when the at least one detected trigger event satisfies the at least one triggering criterion, thereby causing provisioning and operating of at least one protection resource of the plurality of protection resources, wherein the provisioning is based on contents defined in the at least one operation regimen.