Jul 24, 2023 · In this paper, we quickly compare state-of-the-art approaches and introduce a new Machine Learning model considering a larger number of features.
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This is why, in this paper, we focus on one of the most common types of attacks in the vehicular environment: Denial-of-Service (DoS) attacks that impact the ...
DoS attack is probably the most well-known attack on service availability, particularly in vehicular networks [8],. [9]. This attack is simple to implement by ...
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Apr 30, 2024 · Unlike traditional and inadequate solutions, this research leverages an ML-based DOS/DDoS attack detection system at the application layer in ...
Accuracy of the proposed method with proposed features (P2). An Enhanced Model for Machine Learning-Based DoS Detection in Vehicular Networks.
Mar 29, 2024 · This study proposes an Intelligent Intrusion Detection System (IDS) by leveraging Machine Learning (ML).
This research provides smart structured protective systems for VANETs that use machine learning (ML) based algorithms that improves attack detection, ...
Machine learning-based DDoS attack detection has also made progress, employing algorithms such as the Naive Bayesian algorithm, hidden Markov model, and support ...
Dec 18, 2024 · Most DDoS detection methods include statistics, data mining, machine learning, computational intelligence, and/or knowledge-based approaches.
The proposed framework utilized multiple machine learning algorithms and ensemble learning techniques, such as voting, stacking, and custom stacking, to enhance ...