Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System

12/03/2021
by   Nasreen Fathima, et al.
0

Sparse events, such as malign attacks in real-time network traffic, have caused big organisations an immense hike in revenue loss. This is due to the excessive growth of the network and its exposure to a plethora of people. The standard methods used to detect intrusions are not promising and have significant failure to identify new malware. Moreover, the challenges in handling high volume data with sparsity, high false positives, fewer detection rates in minor class, training time and feature engineering of the dimensionality of data has promoted deep learning to take over the task with less time and great results. The existing system needs improvement in solving real-time network traffic issues along with feature engineering. Our proposed work overcomes these challenges by giving promising results using deep-stacked autoencoders in two stages. The two-stage deep learning combines with shallow learning using the random forest for classification in the second stage. This made the model get well with the latest Canadian Institute for Cybersecurity - Intrusion Detection System 2017 (CICIDS-2017) dataset. Zero false positives with admirable detection accuracy were achieved.

READ FULL TEXT

page 1

page 2

page 3

page 4

05/25/2010

Combining Naive Bayes and Decision Tree for Adaptive Intrusion Detection

In this paper, a new learning algorithm for adaptive network intrusion d...
01/29/2020

Intrusion Detection using ASTDs

In this paper, we show the application of ASTDs to intrusion detection. ...
04/07/2022

Autoencoder-based Unsupervised Intrusion Detection using Multi-Scale Convolutional Recurrent Networks

The massive growth of network traffic data leads to a large volume of da...
12/15/2020

Intrusion detection in computer systems by using artificial neural networks with Deep Learning approaches

Intrusion detection into computer networks has become one of the most im...
08/16/2018

Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection

Attackers have developed ever more sophisticated and intelligent ways to...
03/06/2021

Improving Automated Sonar Video Analysis to Notify About Jellyfish Blooms

Human enterprise often suffers from direct negative effects caused by je...