# A Survey on Machine Learning-Based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-survey-on-machine-learning-based-misbehavior-detection-systems-for-5g-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abdelwahab Boualouache,Thomas Engel |
| Citations | 145 |
| DOI | 10.1109/comst.2023.3236448 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://orbilu.uni.lu/handle/10993/54374 |
| OpenAlex ID | https://openalex.org/W4315778400 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Thomas Engel](https://scholariq.org/researchers/thomas-engel/)

## Paper primary topic

- [Vehicular Ad Hoc Networks (VANETs)](https://scholariq.org/topics/vehicular-ad-hoc-networks-vanets/)

## Paper topics

- [Vehicular Ad Hoc Networks (VANETs)](https://scholariq.org/topics/vehicular-ad-hoc-networks-vanets/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Smart Grid Security and Resilience](https://scholariq.org/topics/smart-grid-security-and-resilience/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.