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The engine features attacker and victim interfaces which bind to the external and internal ports of an IPS-under-testing (IUT). The distribution of optimal strategies on a Pareto front, however, suggests that there may be a ‘best-fit’ optimal strategy. IPS deficiencies revealed during testing help establish the effectiveness of our approach. In this paper, we propose an IPS testing framework termed IPS Evaluator which consists of a trace-driven inline simulator-engine, mechanisms for generating and manipulating test cases, and a comprehensive series of test procedures. Professor Kamareddine is an Associate Editor of The Computer Journal and is based in the Department of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh, UK. In this way, replayed packets conform to the specific features of the IUT. In order to make the refined process dynamic, it pursues its implementation using Self-Organising Neural Networks. Using dynamic addressing and routing techniques, our framework rewrites both source and destination addresses for every replayed packet on-the-fly. The outcome of this is a Pareto front of optimal strategies, all of which would satisfy the objectives. Scalability issues with respect to the key parameters of system size and diversity are extensively discussed. Finally,