Security alarm method for communication network based on convolutional neural network
The conventional communication network security alarm structure is mostly set as in-dependent forms,The scope of security alarms is difficult to expand,Results in a prolonged a-larm response time,The design and verification analysis of communication network security a-larm method based on convolutional neural network are proposed,Based on changes in current test requirements and standards,First,develop the basic security alarm mechanism,In a multi-ob-jective approach,Expand the actual security alarm coverage of the communication network,At the same time,multi-target cross network security alarm structure,On the basis,Constructing the communication network alarm model of convolutional neural network,Adaptive locking method is adopted to realize the security alarm processing.Final test results show that:compared to the traditional space-time features fusion communication network security alarm test group,the traditional neighborhood search particle swarm communication network security warning test group,the design of the convolutional neural network communication network security warning test group finally get alarm response time is better controlled under 0.25s,that under the aid of convolutional neural network technology,the current designed alarm effect is better,more targeted,has practical application value.
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