基于人工智能的内网信息安全访问控制系统设计  

Design of intranet information security access control system based on artificial intelligence

作　　者：鞠冠章 JU Guanzhang(Tianjin University,Tianjin 300000,China;State Grid ZTE Co.,Ltd.,Beijing 100053,China)

机构地区：[1]天津大学,天津300000 [2]国网中兴有限公司,北京100053

出　　处：《现代电子技术》2023年第9期83-86,共4页Modern Electronics Technique

摘　　要：为解决内网安全威胁问题,设计一种基于人工智能的内网信息安全访问控制系统。在异常检测模块的设计中,基于人工智能技术中的克隆选择模糊聚类算法设计异常检测算法,区分异常数据包和正常数据包。在客户端模块中,将客户端运行于各台需要监控的主机上,作为系统的执行组件。通过监控服务器配合实施内网监控,完成监控服务器模块的设计。在动态加解密模块中,使用改进后的AES加密算法实现系统安全访问控制的加解密认证。系统测试结果表明,该系统内部用户违法行为捕捉率一直保持在99%以上,每秒可处理2 100条以上的消息,加密性能较好。In order to eliminate the intranet security threats,an intranet information security access control system based on artificial intelligence is designed.In the design of abnormal detection module,an abnormal detection algorithm is designed based on clonal selection fuzzy clustering algorithm in artificial intelligence technology to distinguish the abnormal data packets from normal data packets.In the client module,the client is run on each host that needs to be monitored as the execution component of the system.The design of the monitoring server module is completed by the cooperation of the monitoring server and intranet monitoring.In the dynamic encryption and decryption module,the improved AES encryption algorithm is used to achieve encryption and decryption authentication of system security access control.The system test results show that the capture rate of illegal behavior of users in the system has been maintained at more than 99%,more than 2100 messages can be processed per second,and the encryption performance of the system is good.

关 键 词：内网信息 安全访问控制 人工智能 异常检测 内网监控 模块设计 系统测试 

分 类 号：TN915.08-34[电子电信—通信与信息系统] TP309[电子电信—信息与通信工程]