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We discuss procedures that help verify the IUT's detection and prevention accuracy, attack coverage and behavior under diverse traffic patterns. Scalability issues with respect to the key parameters of system size and diversity are extensively discussed.Intrusion prevention systems (IPSs) not only attempt to detect attacks but also block malicious traffic and pro-actively tear down pertinent network connections. We measure the ability of a selected set of local rules to foster self-organization of what is originally a random graph into a structured network. The Capsule Reviews were compiled by Fairouz Kamareddine. Our engine employs a bi-directional injection policy to ensure that replayed packets are subject to security inspection by the IUT before they are forwarded. IPS deficiencies revealed during testing help establish the effectiveness of our approach. Conflicting goals are introduced, in the form of a population of nodes actively seeking to acquire neighbours of a type different from their own, resulting in decreased local homogeneity. We demonstrate that in this context, an overlay rewiring process based purely on local decisions and interactions can result in efficient load-balancing without central planning. Finally, we introduce dynamic goals by making the preferred neighbour type a function of the local characteristics of a simulated workload. Using dynamic addressing and routing techniques, our framework rewrites both source and destination addresses for every replayed packet on-the-fly. We conclude by discussing the implications of our findings for the design of future distributed applications, the likely influence of other factors and of extreme parameter values on the ability of the system to self-organize and the potential improvements to our framework. We propose algorithms to partition attacker/victim-emanated packets so that they are subjected to security inspections by the IUT