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Beat Grep with Counters, Challenge
 Horký, Michal ; Češka, Milan (oponent) ; Holík, Lukáš (vedoucí práce)
Regular expression matching has an irreplaceable role in software development. The speed of the matching is crucial since it can have a significant impact on the overall usability of the software. However, standard approaches for regular expression matching suffer from high complexity computation for some kinds of regexes. This makes them vulnerable to attacks based on high complexity evaluation of regexes (so-called ReDoS attacks). Regexes with counting operators, which often occurs in practice, are one of such kind. Succinct representation and fast matching of such regexes can be archived by using a novel counting-set automaton. We present a C++ implementation of a matching algorithm based on the counting-set automaton. The implementation is done within the RE2 library, which is a fast state-of-the-art regular expression matcher. We perform experiments on real-life regexes. The experiments show that implementation within the RE2 is faster than the original C# implementation.
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Beat Grep with Counters, Challenge
 Horký, Michal ; Češka, Milan (oponent) ; Holík, Lukáš (vedoucí práce)
Regular expression matching has an irreplaceable role in software development. The speed of the matching is crucial since it can have a significant impact on the overall usability of the software. However, standard approaches for regular expression matching suffer from high complexity computation for some kinds of regexes. This makes them vulnerable to attacks based on high complexity evaluation of regexes (so-called ReDoS attacks). Regexes with counting operators, which often occurs in practice, are one of such kind. Succinct representation and fast matching of such regexes can be archived by using a novel counting-set automaton. We present a C++ implementation of a matching algorithm based on the counting-set automaton. The implementation is done within the RE2 library, which is a fast state-of-the-art regular expression matcher. We perform experiments on real-life regexes. The experiments show that implementation within the RE2 is faster than the original C# implementation.
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