0

我正在尝试实现一个可以检测网络钓鱼网站的系统。输入将包括通过网页获取的网站 URL。我正在使用 UCI 网络钓鱼数据集（大约有 30 个属性），并且我正在训练和测试 J48 分类模型来预测未来的实例。

属性

@relation phishing
@attribute having_IP_Address  { -1,1 }
@attribute URL_Length   { 1,0,-1 }
@attribute Shortining_Service { 1,-1 }
@attribute having_At_Symbol   { 1,-1 }
@attribute double_slash_redirecting { -1,1 }
@attribute Prefix_Suffix  { -1,1 }
@attribute having_Sub_Domain  { -1,0,1 }
@attribute SSLfinal_State  { -1,1,0 }
@attribute Domain_registeration_length { -1,1 }
@attribute Favicon { 1,-1 }
@attribute port { 1,-1 }
@attribute HTTPS_token { -1,1 }
@attribute Request_URL  { 1,-1 }
@attribute URL_of_Anchor { -1,0,1 }
@attribute Links_in_tags { 1,-1,0 }
@attribute SFH  { -1,1,0 }
@attribute Submitting_to_email { -1,1 }
@attribute Abnormal_URL { -1,1 }
@attribute Redirect  { 0,1 }
@attribute on_mouseover  { 1,-1 }
@attribute RightClick  { 1,-1 }
@attribute popUpWidnow  { 1,-1 }
@attribute Iframe { 1,-1 }
@attribute age_of_domain  { -1,1 }
@attribute DNSRecord   { -1,1 }
@attribute web_traffic  { -1,0,1 }
@attribute Page_Rank { -1,1 }
@attribute Google_Index { 1,-1 }
@attribute Links_pointing_to_page { 1,0,-1 }
@attribute Statistical_report { -1,1 }
@attribute Result  { -1,1 }

代码

package weka1;
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.FileReader;
import java.io.FileWriter;
import java.util.Random;

import weka.classifiers.Evaluation;
import weka.classifiers.trees.J48;
import weka.core.Instances;
public class file1 {
   public static void main(String[] args) throws Exception
   {
     BufferedReader breader= null;
     breader=new BufferedReader( new        FileReader("C:\\Users\\.Gayatjhri\\Desktop\\phishing_training.arff"));

     Instances train1= new Instances(breader);
    train1.setClassIndex(30);
    breader=new BufferedReader( new FileReader("C:\\Users\\.Gayatjhri\\Desktop\\phishing_test.arff"));

    Instances test= new Instances(breader);
    test.setClassIndex(30);
      breader.close();

      J48 tree=new J48();
      tree.buildClassifier(train1);
      Instances labeled= new Instances(test);
    Evaluation eval= new Evaluation(train1);


      eval.crossValidateModel(tree, train1, 10, new Random(1));
    System.out.println(eval.toSummaryString("Results\n==========================================\n", true));
    System.out.println(eval.fMeasure(1)+ ""+ eval.precision(1)+ ""+ eval.recall(1));

      for(int i=0; i<test.numInstances(); i++){
      double clsLabel= tree.classifyInstance(test.instance(i));
      labeled.instance(i).setClassValue(clsLabel); 
      }

  BufferedWriter writer=new BufferedWriter(
          new FileWriter("C:\\Users\\.Gayatjhri\\Desktop\\phishing_labeledd.arff"));
          writer.write(labeled.toString());
          writer.close(); 
}

}

如何为任何给定的 URL 为这 30 个属性分配值？

4

0 回答 0