# Enhancing intrusion detection: a hybrid machine and deep learning approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/enhancing-intrusion-detection-a-hybrid-machine-and-deep-learning-approach/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Sajid,Kaleem Razzaq Malik,Ahmad Almogren,Tauqeer Safdar Malik,Ali Haider Khan,Jawad Tanveer,Ateeq Ur Rehman |
| Citations | 240 |
| DOI | 10.1186/s13677-024-00685-x |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-024-00685-x |
| OpenAlex ID | https://openalex.org/W4400737507 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Ahmad Almogren](https://scholariq.org/researchers/ahmad-almogren/)

## 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/)
- [Internet Traffic Analysis and Secure E-voting](https://scholariq.org/topics/internet-traffic-analysis-and-secure-e-voting/)
- [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.