摘要
提出基于文件过滤驱动的财务管理数据安全监控方法,通过证据理论中的信任函数和似然函数,在基本概率赋予的基础上,刻画财务管理数据安全监控区间;以划定的安全监控区间作为判断和推理前提,对财务管理数据的状态进行集聚。按照集聚后的数据状态,采用文件过滤驱动截获状态,选择过滤驱动中的管理器进行流程设定,分别在透明加密和恶意拦截以及资源控制的步骤下实现数据安全监控,完成方法设计。实验以不同类型的财务管理数据作为测试样本,在对其传输路径的历史攻击刻画过程中进行安全监控,新方法能够实现全部攻击的检测,并且能够保证财务数据信息的传输完整度,具有应用价值。
Therefore,a financial management data security monitoring method based on file filtering is studied.By using the trust function and likelihood function in evidence theory,based on the basic probability assignment,the security monitoring interval of financial management data is characterized;Aggregating the status of financial management data based on the designated security monitoring interval as the premise for judgment and inference;According to the aggregated data state,the file filtering driver is used to intercept the state,and the manager in the filtering driver is selected for process settings.Data security monitoring is achieved through transparent encryption,malicious interception,and resource control steps,and the method design is completed.The experiment uses different types of financial management data as test samples to conduct security monitoring during the historical attack characterization process of their transmission paths.The new method can detect all attacks and ensure the transmission integrity of financial data information,which has application value.
作者
计媛媛
JI Yuan-yuan(HeFei College of Finance&Economics,Anhui,Hefei 230601)
出处
《贵阳学院学报(自然科学版)》
2024年第4期95-99,109,共6页
Journal of Guiyang University:Natural Sciences
基金
安徽省哲学社会科学研究项目“职业教育助推我省乡村振兴发展路径研究”(项目编号:2023AH052554)。
关键词
安全监控
文件过滤驱动
财务管理数据
信任函数
安全管理
Security monitoring
File filtering driver
Financial management data
Trust function
Safety management
