Detección de ataques Probe en el dataset NSL KDD, mediante el uso del modelo de clasificación de máquinas de soporte vectorial (SVM)

Abstract

This project proposes the model of a system to analyze a database containing different vulnerabilities and attacks. different vulnerabilities and attacks, for which several data mining techniques are initially applied with the objective of data mining techniques are initially applied in order to perform a database cleaning (elimination of noise, redundancies and outliers), as well as all the necessary conditioning to subsequently implement a support vector machine (SVM). implement a support vector machine (SVM) which will allow to identify when there is an attack. attack and, once the attack has been identified, determine whether it corresponds to a probe attack, which is the type of attack on which the type of attack on which the model is focused.