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Publication detail
MANGLA, C. RANI, S. HERENCSÁR, N.
Original Title
A misbehavior detection framework for cooperative intelligent transport systems
Type
journal article in Web of Science
Language
English
Original Abstract
With changing times, the need for security increases in all fields, whether we talk about cloud networks or vehicular networks. In every place, it has its importance, but in vehicular networks where the lives of human beings are involved, security becomes the topmost priority. Therefore, this article aims to shed light on Misbehavior Detection Framework (MDF) used in the Cooperative Intelligent Transport Systems community. Here, MDF keeps an eye on malicious entities on the roads. It is done by regularly evaluating two main checks: consistency and local plausibility. These checks are done by Intelligent Transport System Stations. All the messages received through Vehicle-to-Everything are scrutinized through this model. After that, all the messages are evaluated by local detection mechanisms to decide the holistic message's plausibility. This article mainly focuses on the logic behind the proposed Misbehavior Detection Framework providing more security, evaluating various Machine Learning-based models to ensure one best out of all based on quality and computation latency of all models along with the results of various parameters, such as Recall, Precision, F1 Score, Accuracy, Bookmaker Informedness, Markedness, Mathews Correlation Coefficient, Kappa, and achieved the best results.
Keywords
C-ITS Architecture, Cooperative Intelligent Transportation, Misbehavior Detection, Security
Authors
MANGLA, C.; RANI, S.; HERENCSÁR, N.
Released
16. 9. 2022
Publisher
Elsevier
ISBN
0019-0578
Periodical
ISA TRANSACTIONS
State
United States of America
Pages from
1
Pages to
11
Pages count
URL
https://www.sciencedirect.com/science/article/pii/S0019057822004323
Full text in the Digital Library
http://hdl.handle.net/11012/208459
BibTex
@article{BUT178994, author="Cherry {Mangla} and Shalli {Rani} and Norbert {Herencsár}", title="A misbehavior detection framework for cooperative intelligent transport systems", journal="ISA TRANSACTIONS", year="2022", volume="0", number="0", pages="1--11", doi="10.1016/j.isatra.2022.08.029", issn="0019-0578", url="https://www.sciencedirect.com/science/article/pii/S0019057822004323" }