Network Security Monitoring Method Based on Deep Learning

With the rise and rapid development of mobile communication, big data artificial intelligence technology, we are entering era Internet. continuous intellectualization network security infrastructure, information technology has been widely used in field industrial control, making more open, which brings a new control system to traditional relatively closed system. This paper mainly introduces monitoring method based on deep learning. In this paper, learning is studied, planning designed by using image analysis, feasibility detection model analyzed reasonably. A designed. Through collection, feature extraction neural training power consumption information, non-invasive realized. can detect attacks that cannot be found at level, improve performance security. The experimental results show for increases efficiency 24%. limitations research methods paths provide good analysis application analyzed, discussed summarized, so as enrich academic results.