z-logo
open-access-imgOpen Access
DeepIoT.IDS: Hybrid Deep Learning for Enhancing IoT Network Intrusion Detection
Author(s) -
Ziadoon Kamil Maseer,
Robiah Yusof,
Salama A. Mostafa,
Nazrulazhar Bahaman,
Omar Musa,
Bander Ali Saleh Alrimy
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2021.016074
Subject(s) - computer science , intrusion detection system , artificial intelligence , deep learning , deep belief network , machine learning , boltzmann machine , anomaly detection , attack model , artificial neural network , classifier (uml) , data mining , computer security

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom