malicious_web_page_detection_based_on_url | # # 基于url特征的轻量级的恶意页面检测 # 程序说明： Author : 沂水寒城

by chengguobiao Python Version: Current License: No License

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malicious_web_page_detection_based_on_url is a Python library. malicious_web_page_detection_based_on_url has no bugs, it has no vulnerabilities and it has low support. However malicious_web_page_detection_based_on_url build file is not available. You can download it from GitHub.

##基于url特征的轻量级的恶意页面检测 #程序说明： Author:沂水寒城功能：使用url数据建立起恶意网站的检测模型输入：第一行为标题，接下来每一行均为一个样本即一个url抽取的得到的向量输出：模型的预测结果. #数据说明：训练数据的集合为：all_train.txt 测试数据的集合为：all_test.txt 其中正例样本标签为0，负例样本标签为1 使用的数据中均为12维特征向量加1维的标签（共13维）. #特征说明：特征文件一共分为两类，第一类一共12维特征也即程序中使用的数据；第二类是实现一篇去年会议上的一篇恶意网站检测的论文的方法一共16维特征 ##第一类特征为： len_procotol2path,ip_exist,len_hostname,www_exist,TLD_exist,SLD_decimal,TLD_decimal,len_path,num_directory_max,path_exist_date,path_exist_hex, label ##第二类特征为： len_procotol2path,ip_exist,len_hostname,www_exist,TLD_exist,SLD_decimal,TLD_decimal,len_path,num_directory_max,path_exist_date,path_exist_hex,url_sign, url_dot, url_length, url_number_length, red_keyword, label ##第一类特征文件为： urlresult2.txt ##第二类特征文件为： urlresult.txt. #模型说明：第一个函数为读取特征数据的函数接下来每一个函数均为一个模型，可以依旧自己的不同需要来使用 model文件夹下面存储的是模型文件，每个训练和测试的模型均可以仿照SVM的模型持久化方法进行存储，避免每次测试都要训练.

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malicious_web_page_detection_based_on_url has a low active ecosystem.

It has 14 star(s) with 6 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 141 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of malicious_web_page_detection_based_on_url is current.

Quality

malicious_web_page_detection_based_on_url has no bugs reported.

Security

malicious_web_page_detection_based_on_url has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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malicious_web_page_detection_based_on_url does not have a standard license declared.

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malicious_web_page_detection_based_on_url releases are not available. You will need to build from source code and install.

malicious_web_page_detection_based_on_url has no build file. You will be need to create the build yourself to build the component from source.

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Install malicious_web_page_detection_based_on_url

You can download it from GitHub.
You can use malicious_web_page_detection_based_on_url like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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