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The results show the superiority of the framework and its robustness with high accuracy of 99.21%, a low false acceptance rate of 0.003%, and a good detection ...
Detecting Cyber Attacks In-Vehicle Diagnostics Using an Intelligent ...
pubmed.ncbi.nlm.nih.gov › ...
Sep 16, 2023 · Thus, we propose a novel framework of multistage to detect abnormality in vehicle diagnostic data based on specifications of diagnostics and ...
The results show the superiority of the framework and its robustness with high accuracy of 99.21%, a low false acceptance rate of 0.003%, and a good detection ...
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Oct 2, 2024 · Detecting Cyber Attacks In-Vehicle Diagnostics Using an Intelligent Multistage Framework. ... Vehicle Diagnostic-Based Secured Framework ...
We propose an intelligent Intrusion detection system (IDS) to detect a wide range of threats utilizing machine learning techniques.
Thus, we propose a novel framework of multistage to detect abnormality in vehicle diagnostic data based on specifications of diagnostics and stacking ensemble ...
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Sep 5, 2024 · A novel framework for detection and prevention of denial of service attacks on autonomous vehicles using fuzzy logic. Veh. Commun. 46 ...
2 days ago · The article discusses how engine control systems have been developing over time, enumerates the most common cyber-attacks they face, and points ...
Aug 29, 2022 · The framework's experimental results show that it can detect abnormalities with accuracy 97.00% for the Seat Leon 2018 dataset and 97.49% for ...
Missing: Multistage | Show results with:Multistage