基于ISSA融合SVM的深度网络安全防护系统算法研究  

ISSA-SVM-Based Research on the Algorithm of Deep Cybersecurity Protection Systems

作　　者：苏伟平[1] SU Wei-ping(Chaozhou Teachers’College of Hanshan Normal University,Chaozhou,Guangdong,521000)

机构地区：[1]韩山师范学院潮州师范分院,广东潮州521000

出　　处：《韩山师范学院学报》2024年第6期16-24,共9页Journal of Hanshan Normal University

摘　　要：针对网络安全防护系统可能存在的问题,提出了一种融合改进麻雀算法和支持向量机的混合算法,并基于该算法设计了新型网络安全防护系统.对提出的混合算法进行性能对比测试,结果显示,该算法的精确率和召回率分别为95.6%和92.2%.随后在新型网络安全防护系统的实证分析中发现,该防护系统对于异常行为的识别准确率为98.28%,显著优于传统防护系统.表明深度网络安全防护系统及算法具有良好的安全防护性能,可利用该系统算法改善网络安全系统防护效果.In response to the potential issues of cybersecurity protection systems,a hybrid algo-rithm in combination with an improved sparrow algorithm and a support vector machine was proposed,and a new cybersecurity protection system was designed based on this algorithm.A performance com-parison test was conducted on the proposed hybrid algorithm,and the results showed that the accura-cy rate and the recall rate of the algorithm were 95.6%and 92.2%,respectively.Subsequently,in the empirical analysis of the new cybersecurity protection system,it was found that the recognition ac-curacy rate of the protection system for abnormal behaviours was 98.28%,significantly better than tra-ditional protection systems.The above results indicate that the deep cybersecurity protection system and algorithm proposed in the study has good security protection performance,and can be used to im-prove the protection effectiveness of cybersecurity systems.

关 键 词：ISSA SVM 网络安全 防护系统 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]