z-logo
open-access-imgOpen Access
Deep Learning-Based Intrusion System for Vehicular Ad Hoc Networks
Author(s) -
Li Fei,
Jiayan Zhang,
Edward Szczerbicki,
Jiaqi Song,
Ruxiang Li,
Diao Renhong
Publication year - 2020
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2020.011264
Subject(s) - computer science , intrusion detection system , autoencoder , deep learning , artificial neural network , vehicular ad hoc network , artificial intelligence , hacker , intelligent transportation system , the internet , focus (optics) , wireless ad hoc network , machine learning , real time computing , computer security , engineering , transport engineering , telecommunications , wireless , physics , optics , world wide web

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