Abstract: A Software Defined Network (SDN) controller monitors load of Virtual FireWall (vFW) nodes in a firewall cluster in real time. When detecting that load of one or more vFW nodes is higher than a predefined first threshold, the SDN controller creates a new vFW node. The SDN controller selects a first flow, which is to be migrated, from flows passing through the monitored vFW nodes, updates a first flow entry corresponding to the first flow, and sends the updated first flow entry to a switch. The updated first flow entry indicates the switch to send the first flow to the new vFW node.

Abstract: Mechanisms are provided for providing a hardened neural network. The mechanisms configure the hardened neural network executing in the data processing system to introduce noise in internal feature representations of the hardened neural network. The noise introduced in the internal feature representations diverts gradient computations associated with a loss surface of the hardened neural network. The mechanisms configure the hardened neural network executing in the data processing system to implement a merge layer of nodes that combine outputs of adversarially trained output nodes of the hardened neural network with output nodes of the hardened neural network trained based on the introduced noise. The mechanisms process, by the hardened neural network, input data to generate classification labels for the input data and thereby generate augmented input data which is output to a computing system for processing to perform a computing operation.