# Adaptive Deep Ensemble Learning for Robust Network Intrusion Detection in Industrial IoT Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/adaptive-deep-ensemble-learning-for-robust-network-intrusion-detection-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | A. Essaki Muthu,S. Balamurugan,Shalini Prasad,Anju Rani,R. Santhana Krishnan,G. Vinoth Rajkumar |
| Citations | 4 |
| DOI | 10.1109/icici62254.2024.00085 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4402593263 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [G. Vinoth Rajkumar](https://scholariq.org/researchers/g-vinoth-rajkumar/)

## 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/)
- [Smart Grid Security and Resilience](https://scholariq.org/topics/smart-grid-security-and-resilience/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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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.