大数据时代高校学生档案信息安全管理

Information Security Management of College students’ Archives in big data era

随着网络技术的发展,传统高校学生档案信息安全管理方法存在被攻击的风险。提出大数据时代高校学生档案信息安全管理方法。运用基于主机入侵检测系统和Web安全扫描工具进行风险识别,利用基于模糊理论的风险评估方法进行风险评估,实现了风险控制,实现对学生档案信息的安全管理。结果表明,大数据时代,高校学生档案信息安全管理方法与传统方法对比而言,其评估准确性均提高20%,表明该方法能有效保证信息安全。

with the development of network technology,the traditional management method of college student file information security has the risk of being attacked.This paper puts forward the security management method of college students'archives information in big data era.Risk identification is carried out by using host intrusion detection system and Web security scanning tool,and risk assessment method based on fuzzy theory is used to realize risk control and security management of student file information.The results show that the accuracy of identification and evaluation is improved by 20%compared with the traditional methods in the big data era,which indicates that this method can effectively guarantee the information security.