Abstract
The present article exposes a prototype and a security system, which using Artificial Intelligence of Neural Networks, using different environments to train and learn attacks, seeking to optimize the overall average of threats, minimizing the percent of vulnerabilities using an evolutionary algorithm called EVONORM.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Sergio Ordoñez, G., Cesar Guerra, T. (2018). Prototype of a Security System with Artificial Intelligence Using Neural Networks and Evolutionary Algorithms. In: Torres Guerrero, F., Lozoya-Santos, J., Gonzalez Mendivil, E., Neira-Tovar, L., Ramírez Flores, P., Martin-Gutierrez, J. (eds) Smart Technology. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 213. Springer, Cham. https://doi.org/10.1007/978-3-319-73323-4_4
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DOI: https://doi.org/10.1007/978-3-319-73323-4_4
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