# WestLakeSwordComp
[西湖论剑AI大数据安全分析赛](https://game-pc.gcsis.cn/ai.html)加密恶意流量检测初赛第一名，决赛第二名方案
初赛97.6318分，决赛总成绩109.7761
- 数据集未上传，请自行咨询主办方是否可提供
- 决赛除了A/B榜以外，有一道附加题要求，根据所预测出的恶意样本，预测出其中每个恶意样本的恶意家族类别(我们方案用的DBSCAN聚类)
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[The West Lake Sword AI Big Data Security Analysis Competition](https://game-pc.gcsis.cn/ai.html) HTTPS Encrypt Malicious Traffic Detection Track, We won the first place in the preliminary competition and second in the final.
We got 97.6318 points in the preliminary，and 109.7761 points in the final.
- We dont upload the dataset, Please consult the organizer if its available
- There is an additional problem in the final to predict the malicious family categories of each sample that predicted as malicious samples by your model(DBSCAN clustering used in our scheme).
西湖论剑AI大数据安全分析赛-加密恶意流量检测赛道参赛源码+项目说明（初赛第一+决赛第二）.zip
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2024-01-29
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西湖论剑AI大数据安全分析赛-加密恶意流量检测赛道参赛源码+项目说明（初赛第一+决赛第二）.zip （23个子文件） 
code_20105 preliminary predict_code 
utils.py 19KB data_preprocessing.py 11KB main_predict.py 3KB tokens 
split_words.txt.gz 526KB train_code utils.py 19KB data_preprocessing.py 11KB tokens split_words.txt.gz 526KB main_train.py 3KB final processCode addition_code utils.py 19KB data_preprocessing.py 11KB main_addition.py 3KB tokens split_words.txt.gz 526KB train_code utils.py 19KB data_preprocessing.py 12KB getAlexaTop.py 556B tokens split_words.txt.gz 526KB main_train.py 4KB finalB predict_code utils.py 19KB data_preprocessing.py 12KB AlexaTop50000.csv 964KB main_predict.py 3KB tokens split_words.txt.gz 526KB README.md 1KB资源评论
