# Privacy enabled driver behavior analysis in heterogeneous IoV using federated learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/privacy-enabled-driver-behavior-analysis-in-heterogeneous-iov-using-federated/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rishu Chhabra,Saravjeet Singh,Vikas Khullar |
| Citations | 58 |
| DOI | 10.1016/j.engappai.2023.105881 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4318344247 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Vikas Khullar](https://scholariq.org/researchers/vikas-khullar/)

## Paper journal

- [Engineering Applications of Artificial Intelligence](https://scholariq.org/journals/engineering-applications-of-artificial-intelligence/)

## Paper primary topic

- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)

## Paper topics

- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)
- [Vehicular Ad Hoc Networks (VANETs)](https://scholariq.org/topics/vehicular-ad-hoc-networks-vanets/)
- [Privacy-Preserving Technologies in Data](https://scholariq.org/topics/privacy-preserving-technologies-in-data/)

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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.