# A Byte-level CNN Method to Detect DNS Tunnels

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-byte-level-cnn-method-to-detect-dns-tunnels/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chang Liu,Liang Dai,Wenjing Cui,Tao Lin |
| Citations | 36 |
| DOI | 10.1109/ipccc47392.2019.8958714 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2999681325 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Liang Dai](https://scholariq.org/researchers/liang-dai/)

## Paper primary topic

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

## Paper topics

- [Internet Traffic Analysis and Secure E-voting](https://scholariq.org/topics/internet-traffic-analysis-and-secure-e-voting/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Network Packet Processing and Optimization](https://scholariq.org/topics/network-packet-processing-and-optimization/)

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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.
