A Deep Learning-Based Intrusion Detection and Preventation System for Detecting and Preventing Denial-of-Service Attacks

A Deep Learning-Based Intrusion Detection and Preventation System for Detecting and Preventing Denial-of-Service Attacks

This document classifies, selects and trains a deep learning algorithm to create an IDS/IPS (Intrusion Prevention/Detection System) called Dique, which can detect and prevent denial of service (DoS) attacks. To mitigate DoS attacks, the IDS/IPS system, using the proposed deep learning model, classif...

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Bibliographic Details
Main Authors: Juan Fernando Canola Garcia, Gabriel Enrique Taborda Blandon
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Denial of service attack
deep learning
intrusion detection system
intrusion prevention system
neural networks
Online Access:https://ieeexplore.ieee.org/document/9851436/

Internet

https://ieeexplore.ieee.org/document/9851436/

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