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URL恶意性检测,基于字符串本身进行特征提取,基于sklearn库的机器学习模型进行分类(附实验数据于data文件夹).zip (23个子文件)
malicious-URL-detection-master
feature_extraction.py 14KB
bad_urls.py 5KB
data_split.py 1KB
single_test.py 1KB
source.py 3KB
use_sklearn.py 24KB
data
bad_urls.csv 556KB
badwords.txt 2KB
splited_data
Test set.csv 17.03MB
Training set.csv 78.08MB
Cross Validation set.csv 16.75MB
test_data
fishtank.csv 2.85MB
data.csv 21.97MB
popular_web.txt 4KB
World_Top_500.csv 6KB
fishtank+train.csv 18.61MB
pearson_correlation.py 889B
get_fishtank.py 3KB
badword_cloud.png 55KB
whois_info.py 208B
get_popular.py 3KB
virus_total_check.py 752B
pearson.png 655KB
共 23 条
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