# Deobfuscation, unpacking, and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deobfuscation-unpacking-and-decoding-of-obfuscated-malicious-javascript-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Samuel Ndichu,Sang-Wook Kim,Seiichi Ozawa |
| Citations | 49 |
| DOI | 10.1049/trit.2020.0026 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/trit.2020.0026 |
| OpenAlex ID | https://openalex.org/W3034934361 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Seiichi Ozawa](https://scholariq.org/researchers/seiichi-ozawa/)

## 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.