A Hypertuned Lightweight and Scalable LSTM Model for Hybrid Network Intrusion Detection

A Hypertuned Lightweight and Scalable LSTM Model for Hybrid Network Intrusion Detection

Given the increasing frequency of network attacks, there is an urgent need for more effective network security measures. While traditional approaches such as firewalls and data encryption have been implemented, there is still room for improvement in their effectiveness. To effectively address this c...

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Bibliographic Details
Main Authors: Aysha Bibi, Gabriel Avelino Sampedro, Ahmad Almadhor, Abdul Rehman Javed, Tai-hoon Kim
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Technologies
Subjects:
deep learning
machine learning
Long-short-term-memory (LSTM)
cyberattacks
network intrusion detection
cyber security
Online Access:https://www.mdpi.com/2227-7080/11/5/121

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