大数据系统安全风险评估指标体系与方法探析  

Research on Risk Assessment Index System and Method for Big Data System Security

作　　者：周超[1] 潘平[1] 杨丽[2] 潘俊宇 

机构地区：[1]贵州大学计算机科学与技术学院,贵州贵阳550025 [2]安顺学院大数据研究院,贵州安顺561000 [3]贵州省电子证书有限公司,贵州贵阳550002

出　　处：《安顺学院学报》2017年第5期120-124,共5页Journal of Anshun University

基　　金：国家自然科学基金地区项目"理性隐私计算及隐私风险可控技术研究"(项目编号:61662009);贵州省高等学校教学内容和课程体系改革(重点)项目"信息系统安全风险评估课程体系结构研究"(项目编号:SJJG201404)的阶段性成果

摘　　要：论文以大数据安全架构为研究内容,分析大数据系统存在的主要安全风险,从多维度对大数据系统构建风险评估体系,并构建了相应的评估指标集,将系统建设与管理信念的概念引入到大数据评估指标体系中,进一步完善、拓展了评估体系,从而根据系统面临的安全威胁特征,选择相应的管理方式与防范措施以降低安全风险,为提高大数据系统的安全性与可靠性提供了相应的依据和方法。Big data technology is one of the typical representatives in the era of post information technology,however,due to the increasing security risk caused by storage policy and data operation,it attracts people＇s attention to the problem of data security and personal privacy.Compared with traditional information system,big data system has the characteristics of huge volume,openness and diversification.Thus,current risk assessment method is not able to completely and reliably assess the security of big data system.In this paper the structure of big data security is research content and analyze main security risks,then construct risk assessment system for big data system from multi-dimension and set up the corresponding assessment index set.The conception of system construction and management belief is introduced into assessment system of big data system,further perfect and expand the assessment system.According to characteristics of security threats which is faced,it can choose the appropriate management method and preventive measure to reduce the security risk,and this paper provides corresponding basis and method to improve the security and reliability of big data system.

关 键 词：大数据 风险 评估指标 管理信念 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]