INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Intelligent Transportation Systems (ITSs) utilise autonomous vehicles (AVs) as a promising technology to increase the efficiency and safety. Vehicle-to-everything (V2X) technology makes it possible for cars and other infrastructure to communicate. However, AVs and the Internet of Vehicles (IoV) are prone to various cyberattacks, including spoofing, sniffer, and denial of service attacks. The proposed intrusion detection system can detect different cyberattacks in the AV networks, according to the results of its implementation on standard data sets. It is created by determining the top-performing ML model for each class of attack from among three ML algorithms (XGBoost, LightGBM, and CatBoost). To accurately decide how to detect different forms of cyberattacks, the class alpha model and its prediction confidence values are used. Moreover, the proposed approaches allow the system to simultaneously achieve high detection rate and low computational cost.
Keywords:
Internet of vehicles, Cyber-attacks, Prediction Confidence, LightGBM, XGBoost, CatBoost
Cite Article:
"Intrusion Detection System in Internet of Vehicles using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.b478-b484, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304168.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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