Comparative Analysis of Intrusion Detection Models on Internet of Vehicles Using TensorFlow Neural Network Classifiers.

Comparative Analysis of Intrusion Detection Models on Internet of Vehicles Using TensorFlow Neural Network Classifiers.

Registration ID: IJNRD_184147

Published ID: IJNRD2211143

DOI: http://doi.one/10.1729/Journal.32163

Abhishek Sebastian , Pragna R

IoV, Intrusion Detection, Deep-learning.

IoV is anticipated to be one of the Future Mobility's ACES (autonomous, connected, electric, and shared) enablers. Security is usually the most crucial concern in the development of IOV since frequent data transmission and intricate connections among many different nodes make hostile attacks more sophisticated and diverse. Many decisions in the IOV architecture are based on artificial intelligence, which is computed utilizing big data and data mining. The attacker's decision could have devastating consequences if they are successful in carrying out a malicious attack and taking complete control of the vehicle. In order to create the best model to identify intrusions from the dataset, various model variations were trained using various optimizers. The best model developed from this study therefore has an accuracy of 99.999897% in detecting typical scenarios, 99.27548394% in detecting generic attacks, and 92.0736% in detecting exploits. Researchers are becoming more interested in intrusion detection as a technique that effectively guards the security of IOV by continuously monitoring network data flow, such as network traffic, connections, objects, etc. Systems called intrusion selection (IDS) can spot potentially dangerous substances and threats.

Published Paper   E-Certificate

"Comparative Analysis of Intrusion Detection Models on Internet of Vehicles Using TensorFlow Neural Network Classifiers.", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 11, page no.b371-b378, November-2022, Available :https://ijnrd.org/papers/IJNRD2211143.pdf

Volume 7 Issue 11, November-2022

Pages : b371-b378

Paper Reg. ID: IJNRD_184147

Published Paper Id: IJNRD2211143

Downloads: 000121118

Research Area: Engineering

Country: Chennai, TN, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2211143.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2211143

DOI: http://doi.one/10.1729/Journal.32163

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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