HTTP Traffic Analysis based on Multiple Deep Convolution Network Model Generation Algorithms

In recent years, with the development of Internet, social networking, online banking, e-commerce and other network applications are growing rapidly. At same time, all kinds malicious web pages constantly emerging. Under new situation, security threats distributed, large-scale complex. New attack modes With more diverse devices access to our life is intelligent convenient, but also brings loopholes hidden dangers. Some through a variety means lure users open URL links conduct behavior. However, if we can detect page identify page, avoid problems content variability behavior tracking. Therefore, traffic analysis based on various deep convolution model generation algorithms arises at historic moment, becomes an important research issue in field Internet security.