企业信息网络安全管理系统设计与实现  

Design and Implementationof Enterprise Information Network Security Management System

作　　者：王鑫 李坤 邱德熠 徐皓宇 WANG Xin;LI Kun;QIU Deyi;XU Haoyu(Chengdu Metro Operation Co.,Ltd.,Chengdu 610000,China)

机构地区：[1]成都地铁运营有限公司,四川成都610000

出　　处：《微型电脑应用》2024年第8期150-154,共5页Microcomputer Applications

摘　　要：为了完善防护体系、对恶意攻击做出准确预测,设计企业信息网络安全管理系统。该系统采用主动安全防御模式,选取随机森林算法客观评估网络安全态势感知,加快决策树生成随机森林的过程;将粒子群优化(PSO)算法融入支持向量机算法,使安全管理系统得到了稳定运行。实验结果证明,与其他算法相比,随机森林算法能够使模型预测更精确,改进的PSO算法对网络攻击的检测精度约为99%。In order to improve the protection system and predict the malicious attack accurately,an enterprise information network security management system is designed.The system adopts the active security defense mode,selects the random forest algorithm to evaluate the network security situation awareness objectively,and speeds up the process of generating random forest from decision tree.The particle swarm optimization(PSO)algorithm is integrated into the support vector machine algorithm to make the security management system run stably.The experimental results show that the random forest algorithm can make the model prediction more accurate than other algorithms,and the accuracy of the improved PSO algorithm to detect network attacks is about 99%.

关 键 词：安全管理系统 随机森林算法 粒子群优化 支持向量机 网络安全态势感知 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]