Utilising Deep Learning Techniques for Effective Zero-Day Attack Detection

Utilising Deep Learning Techniques for Effective Zero-Day Attack Detection

Machine Learning (ML) and Deep Learning (DL) have been used for building Intrusion Detection Systems (IDS). The increase in both the number and sheer variety of new cyber-attacks poses a tremendous challenge for IDS solutions that rely on a database of historical attack signatures. Therefore, the in...

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Bibliographic Details
Main Authors: Hanan Hindy, Robert Atkinson, Christos Tachtatzis, Jean-Noël Colin, Ethan Bayne, Xavier Bellekens
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Electronics
Subjects:
autoencoder
artificial neural network
one-class support vector machine
intrusion detection
zero-day attacks
CICIDS2017
Online Access:https://www.mdpi.com/2079-9292/9/10/1684

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