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National Repository of Grey Literature

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	Automatic Grouping of Regular Expressions Stanek, Timotej ; Kořenek, Jan (referee) ; Kaštil, Jan (advisor) This project is about security of computer networks using Intrusion Detection Systems. IDS contain rules for detection expressed with regular expressions, which are for detection represented by finite-state automata. The complexity of this detection with non-deterministic and deterministic finite-state automata is explained. This complexity can be reduced with help of regular expressions grouping. Grouping algorithm and approaches for speedup and improvement are introduced. One of the approches is Genetic algorithm, which can work real-time. Finally Random search algorithm for grouping of regular expressions is presented. Experiment results with these approches are shown and compared between each other. Detailed record
	A Universal Automata Simulator Krajíček, Karel ; Láznička, Stanislav (referee) ; Meduna, Alexandr (advisor) This paper is about simulator of automata, where user can work with different types of automata and Turing machines. For that was created program in C++ with graphics library SDL, where user can create Turing machine and simulate it. Detailed record
	A Universal Automata Simulator Krajíček, Karel ; Láznička, Stanislav (referee) ; Meduna, Alexandr (advisor) This paper is about simulator of automata, where user can work with different types of automata and Turing machines. For that was created program in C++ with graphics library SDL, where user can create Turing machine and simulate it. Detailed record
	Automatic Grouping of Regular Expressions Stanek, Timotej ; Kořenek, Jan (referee) ; Kaštil, Jan (advisor) This project is about security of computer networks using Intrusion Detection Systems. IDS contain rules for detection expressed with regular expressions, which are for detection represented by finite-state automata. The complexity of this detection with non-deterministic and deterministic finite-state automata is explained. This complexity can be reduced with help of regular expressions grouping. Grouping algorithm and approaches for speedup and improvement are introduced. One of the approches is Genetic algorithm, which can work real-time. Finally Random search algorithm for grouping of regular expressions is presented. Experiment results with these approches are shown and compared between each other. Detailed record

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