Past year
All results
- All results
- Verbatim
Mar 7, 2024 · The techniques and procedures for inspecting the exchanged information between the nodes in the network to locate the malfunctioning or misbehaving ones, i.e., ...
Oct 11, 2024 · We demonstrate our approach against the Vehicular Reference Misbehaviour (VeReMi) dataset to illustrate the recognition of different attack classes within ...
Feb 18, 2024 · This work presents a deep learning technique for identifying DDoS attacks in SDN-based VANET, commonly called TabNet, a cutting-edge deep learning model for ...
Missing: Misbehavior | Show results with:Misbehavior
Jan 26, 2024 · An effective misbehavior detection model using artificial neural network for vehicular ad hoc network applications. In Proceedings of the 2017 IEEE ...
May 24, 2024 · In this study, a novel ML technique called SVM-HHO is proposed for detecting Distributed Denial of Service (DDoS) attacks in VANETs. The proposed method ...
May 1, 2024 · We use the Framework for Misbehavior Detection (F2MD) to simulate an attack effect with adverse side effects on road traffic.
Sep 20, 2024 · The study demonstrated that machine learning combined with geostatistical methods significantly improves the accuracy of housing price predictions. Local ...
[PDF] A Review of AI-Based Approaches against Wormhole and Blackhole ...
as-proceeding.com › download
Jun 25, 2024 · This review paper explores the security challenges of Mobile Ad Hoc Networks (MANETs) and. Wireless Sensor Networks (WSNs), focusing on the prevalence of ...
2 days ago · To achieve driving safety, a standard solution is using a Misbehavior Detection System that can detect malfunctions leading to wrong, missing, or misleading ...