ICTACT Journal on Communication Technology

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Detection of Cyber Attack on Internet of Vehicle Commuters


Affiliations
1 Institute of Computer Science and Information Science, Srinivas University, India., India
2 Department of Mathematics and Computer Science, University of Africa, Nigeria., Nigeria
     

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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.

Keywords

Internet of Vehicles, Intrusion Detection System, Traffic System, Vehicle Commuters.
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  • Detection of Cyber Attack on Internet of Vehicle Commuters

Abstract Views: 176  |  PDF Views: 0

Authors

H.A. Dinesh
Institute of Computer Science and Information Science, Srinivas University, India., India
S. Radha Rammohan
Institute of Computer Science and Information Science, Srinivas University, India., India
A. Jayanthiladevi
Institute of Computer Science and Information Science, Srinivas University, India., India
S. Kamala
Institute of Computer Science and Information Science, Srinivas University, India., India
Jackson Akpakaro
Department of Mathematics and Computer Science, University of Africa, Nigeria., Nigeria

Abstract


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.

Keywords


Internet of Vehicles, Intrusion Detection System, Traffic System, Vehicle Commuters.

References