Genetic Algorithms And Its Applications Of Cyber Security

Genetic Algorithms and its Applications to Cyber Security Paper By Sameera Chalamalasetty Guided By Dr. Mario A Garcia Abstract: Genetic algorithms (GAs) were initially proposed by John Holland, whose thoughts were connected and developed by Goldberg. GAs are a heuristic pursuit procedure in view of the standards of the Darwinian thought of survival of the fittest and characteristic genetics. Holland s work was basically an endeavor to numerically comprehend the versatile procedures of nature, however the general accentuation of GA examination from that point forward has been in discovering applications, numerous in the field of combinatorial enhancement. Genetic algorithms have been utilized as a part of science and engineering as versatile algorithms for tackling functional issues and as computational models of common developmental frameworks. In the latest couple of decades, this procedure with advancement of cutting edge development has accomplished something new. Introduction: â€Å"Li [3] describes genetic algorithm as a family of computational models based on evolution and natural selection.† â€Å"Bobor [4] has defined a genetic algorithm as a programming technique, which mimics biological evolution as a problem solving approach.† â€Å"An earlyShow MoreRelatedIntrusion Detection System ( Ids )2049 Words   |  9 PagesAbstract—Increasing attacks and intrusion of the Internet and computer systems necessitate the need for Intrusion Detection System (IDS) to prevent attacks. Genetic Algorithm (GA) is applied to support IDS. Fitness function and GA operators—crossover, mutation, and population representation—play an important role in improving the performance of an IDS: high detection rate, and low false positive rate. 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