semvec/pypi-packages huggingface dataset:
traffic-anonymous 1.0.1
流量匿名化工具
Requires Python: >=3.6

# 信工所流量匿名

主要任务是将流日志的IP和Port进行匿名化处理，并且要求这种匿名化处理是可逆的

## 流日志形式

```
2024-03-15 01:58:59	192.168.107.22.62510>10.28.8.78.53	6	1,36,1710439139;1,36,1710439139;2,52,1710439139;2,52,1710439139;
2024-03-15 01:58:59	192.168.107.49.59637>10.28.8.78.53	6	1,57,1710439139;1,57,1710439139;2,153,1710439139;2,153,1710439139;
2024-03-15 01:59:59	192.168.107.93.50492>159.226.227.107.80	17	1,277,1710439199;2,755,1710439199;
2024-03-15 01:59:58	192.168.107.93.50436>159.226.227.117.80	17	1,277,1710439198;2,1460,1710439198;2,13,1710439198;1,277,1710439198;2,1460,1710439198;2,421,1710439198;
```

这些流日志依次是

日期 时间 源IP.源Port>目的IP.目的Port 协议类型(6代表TCP，17代表UDP) 方向(1代表c2s，2代表s2c),包大小,时间戳;方向(1代表c2s，2代表s2c),包大小,时间戳;.....


## how to use

使用
```
traffic_anonymous --help
```
进行查询
Al-HaQ 0.1.1
A fight for truth. A better democracy.
Keywords: Quantum Computing, QUBO, Quantum ML, Optimization

Fake news can spread up to 10 times faster than true reporting on social media. These often reach 100,000+ people within a few hours, and the implications can be devastating in spreading misinformation, even when corrected. AlHaq is a cross-platform service that tailors any user’s social media feed to amplify trusted information within their social network using quantum computing. AlHaq can detect fake news from a social media user, rank the trustedness of members in their social network, and adapt their social media feed to boost true news sources and filter disinformation.