# Practical GAN-based synthetic IP header trace generation using NetShare

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/practical-gan-based-synthetic-ip-header-trace-generation-using-netshare/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yucheng Yin,Zinan Lin,Minhao Jin,Giulia Fanti,Vyas Sekar |
| Citations | 92 |
| DOI | 10.1145/3544216.3544251 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://dl.acm.org/doi/pdf/10.1145/3544216.3544251 |
| OpenAlex ID | https://openalex.org/W4290991003 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Minhao Jin](https://scholariq.org/researchers/minhao-jin/)

## 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/)
- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)

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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.