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malicious_dynamic_behavior_detection_by_cnn's Introduction

使用CNN进行样本恶意动态行为检测

运行方法

  1. 格式转换json->txt
    1. 将原始cuckoo跑出的动态行为报告report.json都拷贝到文件夹data/cuckoo_reports中
    2. 用下面指令转换cuckoo报告格式,结果保存在data/cuckoo_report_txts中
python cuckoo2txt.py
  1. 准备训练样本
    把转换为txt格式的动态行为报告,根据类别存放到data/train下的不同目录。
    例:二分类,分别把样本存入data/train/pos和data/train/neg

  2. 训练
    main函数中有可调节的参数,可根据需要修改。

python train.py
  1. 测试
    将txt格式的测试文件存入data/test子目录下
python test.py
  1. 查看tensorboard
tensorboard --logdir runs/

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malicious_dynamic_behavior_detection_by_cnn's Issues

data_set

你们的数据是自己打标的吗? 数据可否共享? 我们仅用于实验室的算法研究上面.

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