# An optimized LSTM-based deep learning model for anomaly network intrusion detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-optimized-lstm-based-deep-learning-model-for-anomaly-network-intrusion/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nitu Dash,Sujata Chakravarty,Amiya Kumar Rath,Nimay Chandra Giri,Kareem M. AboRas,N. Gowtham |
| Citations | 108 |
| DOI | 10.1038/s41598-025-85248-z |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-025-85248-z.pdf |
| OpenAlex ID | https://openalex.org/W4406230518 |
| PMID | 39789143 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Amiya Kumar Rath](https://scholariq.org/researchers/amiya-kumar-rath/)
- [Sujata Chakravarty](https://scholariq.org/researchers/sujata-chakravarty/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## 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/)

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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.