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自适应优化参数模拟退火的无线通信网络节点入侵实时监控方法

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常规的无线通信网络节点入侵监控方法以入侵特征匹配的形式为主,大部分恶意代码与合法代码混合在一起,无法满足特征匹配需求,从而出现入侵监控误报、漏报的情况.为此,设计了自适应优化参数模拟退火的无线通信网络节点入侵实时监控方法.设定无线通信网络节点入侵监控标准,针对不同的网络监控环境制定入侵行为监控判别标准,确保入侵行为监控效果.基于模拟退火优化通信网络节点入侵实时监控参数,根据模拟退火算法状态转移概率,确定当前节点的入侵情况,满足网络节点入侵的实时监控需求.采用对比实验,验证了该方法的监控准确性更高,能够应用于实际生活中.
Adaptive Optimization Parameter Simulated Annealing for Real time Monitoring of Node Intrusion in Wireless Communication Networks
The conventional intrusion monitoring methods for wireless communication network nodes mainly rely on intrusion feature matching.Most malicious code is mixed with legitimate code,which cannot meet the requirements of feature matching,resulting in false alarms and missed alarms in intrusion monitoring.Therefore,a real-time monitoring method for wireless communication network node intrusion using adaptive optimization parameter simulated annealing was designed.Set intrusion monitoring standards for wireless communication network nodes,and develop intrusion behavior monitoring discrimination standards for different network monitoring environments to ensure the effectiveness of intrusion behavior monitoring.Based on simulated annealing optimization,real-time monitoring parameters for communication network node intrusion are optimized.According to the state transition probability of the simulated annealing algorithm,the current node intrusion situation is determined to meet the real-time monitoring requirements for network node intrusion.Through comparative experiments,it was verified that the monitoring accuracy of this method is higher and can be applied in practical life.

adaptive optimization parameterssimulated annealingwireless communication network nodesinvasionreal time monitoring methods

李庐

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安徽财经大学 教务处,安徽蚌埠 233030

自适应优化参数 模拟退火 无线通信网络节点 入侵 实时监控方法

2024

喀什大学学报
喀什师范学院

喀什大学学报

CHSSCD
影响因子:0.178
ISSN:2096-2134
年,卷(期):2024.45(3)