Abstract: There is provided adaptive traffic processing in a communications network. Traffic flows from real-life traffic are detected, rules are applied to detected traffic flows, machine-learning based clustering of the detected traffic flows is performed, at least one new traffic rule is generated on the basis of one or more generated traffic clusters, the generated rules are simulated for obtaining a result indicating behavioural effect in the traffic of the communications network, the result is evaluated against one or more performance criteria of the communications network and the generated rules are applied if the performance criteria of the communications network have been met.

Abstract: There is provided adaptive traffic processing in a communications network. Traffic flows from real-life traffic are detected, rules are applied to detected traffic flows, machine-learning based clustering of the detected traffic flows is performed, at least one new traffic rule is generated on the basis of one or more generated traffic clusters, the generated rules are simulated for obtaining a result indicating behavioural effect in the traffic of the communications network, the result is evaluated against one or more performance criteria of the communications network and the generated rules are applied if the performance criteria of the communications network have been met.