Application of combined kernel function artificial intelligence algorithm in mobile communication network security authentication mechanism

2019 ◽  
Vol 75 (9) ◽  
pp. 5946-5964
Author(s):  
Zhongru Wang ◽  
Binxing Fang
2011 ◽  
Vol 403-408 ◽  
pp. 1564-1567
Author(s):  
Xin Min Wu ◽  
Hao Shu Wu

This article first has carried on the brief elaboration to the 4G mobile communication system's network architecture and the key technologies, will face more and more threats facing future 4G mobile communication network security, has analyzed the communication network, the 4G network safety mechanism and 4G the correspondence development faced with the security threat question, next will adopt the mobile communication network security the protection technology, finally proposed in the future must study question and development direction.


2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Chao Duan ◽  
Jun Luo

The objective of this paper is to study the key technology of the mobile communication network optimization system based on artificial intelligence technology. Specific Content. This paper designs the artificial intelligence agent- (IA-) type mobile communication network optimization tool iOS2CMCN, analyzes the relevant intelligent technology introduced into the system, and analyzes the feasibility and practicability of iOS2CMCN through application examples. The results show that the optimization of mobile communication networks is one of the important links in the construction of communication networks and ensuring the quality of network service. In the form of an artificial intelligence agent, iOS2CMCN absorbs the experience and knowledge of a large number of network optimization engineers and experts and realizes the intelligence and automation of mobile communication network optimization. It is proven that the fuzzy technology is introduced in theory, the practical problem is reasonably modeled, and the rule and case reasoning are used to simulate the thinking mode of a human being when solving the problem. It reduces the dependence of network optimization on humans, improves the efficiency of network optimization, and provides a new idea for practical mobile communication network optimization.


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