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Signature based Network Intrusion Detection Systems (NIDS) apply a set of rules to identify hostile traffic in network segments. Currently they are so effective detecting known attacks that hackers seek new techniques to go unnoticed. Some of these techniques consist of exploiting network protocols ambiguities. Nowadays NIDS are prepared against most of these evasive techniques, as they are recognized...
This study explores the suitability of a soft computing technique to predict (forecast and hindcast) significant wave heights in some areas of the Mediterranean Sea. Using a 44-year database of meteorological and oceanographic records we train a genetic algorithm, to reconstruct a 44-year time series of significant wave height at different coastal points of the Balearic Islands (Western Mediterranean)...
One of the central areas in network intrusion detection is how to build effective systems that are able to distinguish normal from intrusive traffic. In this paper we explore the use of Genetic Programming (GP) for such a purpose. Although GP has already been studied for this task, the inner features of network intrusion detection have been systematically ignored. To avoid the blind use of GP shown...
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