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Intrusion prevention systems (IPSs) not only attempt to detect attacks but also block malicious traffic and pro-actively tear down pertinent network connections. 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. In this way, replayed packets conform to the specific features of the IUT. Furthermore, the send-and-receive mechanism of our engine allows for the correlation of engine-replayed and IUT-forwarded packets as well as the verification of IUT actions on detected attacks. 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.The Capsule Reviews are intended to provide a short succinct review of each paper in the issue in order to bring to a wider readership.Genetic Algorithms may be used together with Pareto Optimality in the process of selection of an optimal strategy by taking into account this distribution alongside user preferences, video content characteristics and usage history. Finally, we evaluate the strengths of our framework by mainly examining the open-source IPS Snort-Inline. We propose algorithms to partition attacker/victim-emanated packets so that they are subjected to security inspections by