# Intrusion Detection System Using Hybrid Convolutional Neural Network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/intrusion-detection-system-using-hybrid-convolutional-neural-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Amani K. Samha,Nidhi Malik,Deepak Sharma,S. Kavitha,Papiya Dutta |
| Citations | 17 |
| DOI | 10.1007/s11036-023-02223-6 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4385740179 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Nidhi Malik](https://scholariq.org/researchers/nidhi-malik/)

## 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/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [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.