# Detection Approach of Malicious JavaScript Code Based on deep learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-approach-of-malicious-javascript-code-based-on-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Liyuan Zheng,Dongcheng Zhang,Xin Xie,Chen Wang,Bo-Yuan Hou |
| Citations | 5 |
| DOI | 10.1109/iciba56860.2023.10165039 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4383333600 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Liyuan Zheng](https://scholariq.org/researchers/liyuan-zheng/)

## Paper primary topic

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

## Paper topics

- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

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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.