# Machine Learning based Authentication of loT Devices in Traffic Prediction for ITS

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-based-authentication-of-lot-devices-in-traffic-prediction-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Kavitha,Venkata Ramana Karumanchi,T.S. Rajeswari,Vijaya Chandra Jadala,S. Hrushikesava Raju,M. Kavitha |
| Citations | 7 |
| DOI | 10.1109/icaaic53929.2022.9793005 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4283013394 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Vijaya Chandra Jadala](https://scholariq.org/researchers/vijaya-chandra-jadala/)

## Paper journal

- [2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)](https://scholariq.org/journals/2022-international-conference-on-applied-artificial-intelligence-and-computing/)

## 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/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Traffic control and management](https://scholariq.org/topics/traffic-control-and-management/)

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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.