vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff989531000000adf5110001000200 The Internet of Vehicles (IoV) is a massive interactive network that can be extended into the realm of smart transportation by utilizing IoV at scale because it is capable of attaining unified management. It is well known that the gathered contents not only contain personal information, but also certain critical data, such as a vehicle running parameter, which is strongly related to traffic safety. This study explains how a network intrusion detection system (IDS) based on artificial intelligence can be deployed over various datasets. The simulation is carried out in an extensive way and the results show that the proposed method achieves a higher rate of accuracy in detecting the instances than the other existing methods.
H.A. Dinesh1, S. Radha Rammohan2, A. Jayanthiladevi3, S. Kamala4, Jackson Akpakaro5 Srinivas University, India1,2,3,4, University of Africa, Nigeria5
Internet of Vehicles, Intrusion Detection System, Traffic System, Vehicle Commuters
January | February | March | April | May | June | July | August | September | October | November | December |
2 | 0 | 1 | 0 | 0 | 5 | 0 | 1 | 0 | 0 | 0 | 0 |
| Published By : ICTACT
Published In :
ICTACT Journal on Communication Technology ( Volume: 14 , Issue: 1 , Pages: 2876 - 2881 )
Date of Publication :
March 2023
Page Views :
362
Full Text Views :
15
|