# Internet Traffic Analysis and Secure E-voting

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/internet-traffic-analysis-and-secure-e-voting-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 375,372 |
| Description | This cluster of papers focuses on the application of machine learning and deep learning techniques for the classification and analysis of internet traffic, including encrypted traffic, network behavior, and IoT device identification. It also covers topics related to anonymity, traffic analysis, and electronic voting. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T11598 |
| Works | 40,680 |

## Topic researchers

Showing 12 of 20.

- [John P. A. Ioannidis](https://scholariq.org/researchers/john-p-a-ioannidis/)
- [H. Vincent Poor](https://scholariq.org/researchers/h-vincent-poor/)
- [T. J. Kim](https://scholariq.org/researchers/t-j-kim/)
- [Daniel S. Berman](https://scholariq.org/researchers/daniel-s-berman/)
- [Scott Shenker](https://scholariq.org/researchers/scott-shenker/)
- [Rui Zhang](https://scholariq.org/researchers/rui-zhang/)
- [Qiang Yang](https://scholariq.org/researchers/qiang-yang/)
- [Dacheng Tao](https://scholariq.org/researchers/dacheng-tao/)
- [Xuemin Shen](https://scholariq.org/researchers/xuemin-shen/)
- [Hari Balakrishnan](https://scholariq.org/researchers/hari-balakrishnan/)
- [Witold Pedrycz](https://scholariq.org/researchers/witold-pedrycz/)
- [Zhu Han](https://scholariq.org/researchers/zhu-han/)

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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.
