Efficient Distributed Preprocessing Model for Machine Learning-Based Anomaly Detection over Large-Scale Cybersecurity Datasets

Efficient Distributed Preprocessing Model for Machine Learning-Based Anomaly Detection over Large-Scale Cybersecurity Datasets

New computational and technological paradigms that currently guide developments in the information society, i.e., Internet of things, pervasive technology, or Ubicomp, favor the appearance of new intrusion vectors that can directly affect people’s daily lives. This, together with advances in techniq...

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Bibliographic Details
Main Authors: Xavier Larriva-Novo, Mario Vega-Barbas, Víctor A. Villagrá, Diego Rivera, Manuel Álvarez-Campana, Julio Berrocal
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
intrusion detection
machine learning
decision trees
multilayer perceptron
data preprocessing
large-scale datasets
Online Access:https://www.mdpi.com/2076-3417/10/10/3430

Internet

https://www.mdpi.com/2076-3417/10/10/3430

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