# An Effective Machine Learning Approach for loT Intrusion Detection System based on SMOTE

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-effective-machine-learning-approach-for-lot-intrusion-detection-system-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | V. Surya,M Muthu Selvam |
| Citations | 9 |
| DOI | 10.1109/iceca55336.2022.10009130 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4316658978 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [V. Surya](https://scholariq.org/researchers/v-surya/)

## Paper journal

- [2022 6th International Conference on Electronics, Communication and Aerospace Technology](https://scholariq.org/journals/2022-6th-international-conference-on-electronics-communication-and-aerospace/)

## Paper primary topic

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

## Paper topics

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Internet Traffic Analysis and Secure E-voting](https://scholariq.org/topics/internet-traffic-analysis-and-secure-e-voting/)

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