Deep Learning-Based Intrusion Detection System for Detecting IoT Botnet Attacks: A Review

Deep Learning-Based Intrusion Detection System for Detecting IoT Botnet Attacks: A Review

The proliferation of Internet of Things (IoT) devices has brought about an increased threat of botnet attacks, necessitating robust security measures. In response to this evolving landscape, deep learning (DL)-based intrusion detection systems (IDS) have emerged as a promising approach for detecting...

Full description

Saved in:
Bibliographic Details
Main Authors: Tamara Al-Shurbaji, Mohammed Anbar, Selvakumar Manickam, Iznan H Hasbullah, Nadia Alfriehat, Basim Ahmad Alabsi, Ahmad Reda Alzighaibi, Hasan Hashim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Intrusion detection system (IDS)
botnet
deep learning
Internet of Things (IoT)
IoT Botnet
neural networks
Online Access:https://ieeexplore.ieee.org/document/10829842/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10829842/

Similar Items