基于数据挖掘的网络信息安全技术研究  

Research on Network Information Security Technology Based on Data Mining

作　　者：刘泽霖 LIU Zelin(Xinjiang Lianhai Chuangzhi Information Technology Co.,Ltd.,Urumqi Xinjiang 841001,China)

机构地区：[1]新疆联海创智信息科技有限公司,新疆乌鲁木齐841001

出　　处：《信息与电脑》2023年第12期210-212,共3页Information & Computer

摘　　要：传统的信息安全防护主要通过专业的安全人员使用部分工具对信息系统等进行漏洞的探索和挖掘,受到人员的专业能力影响,会存在很多的盲区,导致漏洞挖掘的精度和效率存在较大波动。文章主要结合用户的实际安全防护需求,阐述了数据挖掘算法在信息安全防护中的防护流程和应用。Traditional information security protection mainly relies on professional security personnel using some tools to explore and mine vulnerabilities in information systems,etc.Due to the influence of personnel's professional abilities,there are many blind spots,leading to significant fluctuations in the accuracy and efficiency of vulnerability mining.The article mainly elaborates on the protection process and application of data mining algorithms in information security protection based on the actual security protection needs of users.

关 键 词：数据挖掘技术 深度学习算法 信息安全防护 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]