MalwareGAN:可视化恶意软件行为,并使用GAN主动防御零日攻击

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在动态图像文件行为的分布式图像可视化中,使用GAN模拟恶意软件作者以提供主动保护 引用为: VS Bhaskara, and D. Bhattacharyya. arXiv preprint arXiv:1807.07525 [stat.ML] (2018) 。 引用代码 训练的WGAN-GP模型基于上发布的代码。 我们将带有improved_wgan_training/gan_64x64.py脚本与GoodGenerator和GoodDiscriminator函数定义的网络体系结构GoodDiscriminator使用。 每个通道使用的64位dHash基于上的实现。 在color_dHash192.py脚本中显示了通过在彩色图像的通道上串联dHash来哈希的扩展。 数据集 dataset_filedetails.csv :列出文件SHA256哈希值和所使用的12,006个不同可执行文

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