private int ScanAFile(string filePath)
{
//dumpbin file
FilePresentation filePresentation = new FilePresentation();
filePresentation.ExecuteCommandAFile(filePath, temp_stored_path);
string[] filepats = Directory.GetFiles(temp_stored_path);
//vector hoa
double[] featureVector = filePresentation.VectorizeAFile(Directory.GetFiles(System.IO.Path.Combine(Environment.CurrentDirectory, temp_stored_path))[0]);
//chuan hoa
double[] basic_features = featureVector.Take(Globals.BASIC_FEATURES).ToArray();
double[] dlls = new double[featureVector.Length - Globals.BASIC_FEATURES];
for (int i = 0; i < dlls.Length; i++)
{
dlls[i] = featureVector[Globals.BASIC_FEATURES + i];
}
VDSElement e = new VDSElement(Globals.DETECTOR_RADIUS,
new DLLSignature(basic_features, dlls));
List <VDSElement> testing_data = new List <VDSElement>();
testing_data.Add(e);
//kiem tra
int[] predictingLabels = algorithm.Learner.PredictLabel(algorithm.ConvertToDataLearnerForPredictLabel(testing_data));
//Xoa cac file temp
File.Delete(Directory.GetFiles(temp_stored_path)[0]);
return(predictingLabels[0]);//1: virus, 0: benign --> 0 la virus, 1 benign
}
private void Worker_DoWork(object sender, DoWorkEventArgs e)
{
//string[] trainingSetPath = Directory.GetDirectories(trainingFolderDialog.SelectedPath);
//foreach (var aTrainingSetPath in trainingSetPath)
//{
// FilePresentation filePresentation = new FilePresentation(aTrainingSetPath);
// filePresentation.PresentFiles();
//}
string aTrainingSetPath = txtTrainingFolder.Text;
FilePresentation filePresentation = new FilePresentation(aTrainingSetPath);
filePresentation.PresentFiles(worker.ReportProgress);
}
