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Title	Iot Enabled Security Management Approach For Intelligent Transportation System In Smart Cities
ID_Doc	33802
Authors	Sumit; Chhillar R.S.
Year	2022
Published	2022 IEEE 6th Conference on Information and Communication Technology, CICT 2022
DOI	http://dx.doi.org/10.1109/CICT56698.2022.9997813
Abstract	Using encryption and machine learning to improve security is being considered by researchers. A novel technique for securing an IoT-enabled intelligent transportation system has been proposed. The transaction has been classified using a machine learning model. A machine learning model was trained using a dataset of filtered and unfiltered transaction data. During simulation, the intelligent transportation system classified routine transactions and attacks. There are two types of data transit discussed here: regular and attack and failure. Accuracy, f1-score, recall, and precision have been shown to have significant impact on accuracy of results. Cryptography and machine learning might be used to improve the security of an intelligent transportation system. © 2022 IEEE.
Author Keywords	Accuracy; F1 - score; Intelligent transportation system; IoT; Machine learning; precision; recall

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