Application process of machine learning in cyberspace security

Under the influence of the rapid development of computer Internet technology, computers and computer technology have been widely spread and applied in various fields of society. Hundreds of millions of network access points, networked devices and network applications have produced massive amounts of Data has brought huge difficulties and challenges to cyberspace security, and the emergence of machine learning has provided a series of effective analysis and decision-making tools, especially its advocacy for the effective use of computer information. Have human thinking, become smarter and smarter, in order to help people solve various computer network security problems. Guided by the first-level discipline of cyberspace security, this article focuses on the latest research results of the application of machine learning technology in the field of cyberspace security, and elaborates the application process of machine learning technology in cyberspace security research. Finally, it summarizes the problems in existing solutions, as well as the future development direction and challenges of machine learning technology in cyberspace security research.