大数据信息安全风险框架及应对策略研究
Research on big data information security risk framework and response strategies
何焱1
作者信息
- 1. 广西理工职业技术学校,广西南宁 530031
- 折叠
摘要
[目的/意义]由于大数据、云计算和互联网软件等技术的迅猛发展,使得广域网或局域网内数据信息资源不断增多,也不可避免地带来一些安全风险问题.搭建模块化的信息安全风险评估平台、制定风险处理管理措施,以便更为及时地处理潜在数据风险问题.[方法/过程]为最大程度地保证大数据信息传输和存储的安全性,基于层次分析法建构起网络数据信息安全风险的评估体系框架,展开不同用户非法访问、入侵攻击的安全风险指标评估分析.[结果/结论]用网络信息安全监控系统、RSA非对称加密算法的数据安全管理方式,有效地降低了网络数据传输与共享过程中的数据窃听风险、泄露风险、篡改风险.
Abstract
[Purpose/Significance]Due to the rapid development of technologies such as big data,cloud computing,and internet software,data and information resources in wide area networks or local area networks continue to increase,inevitably bringing some security risks.Build a modular information security risk assessment platform and develop risk management measures to more timely address potential data risk issues.[Method/Process]To ensure the security of big data information transmission and storage to the greatest extent possible,a framework for evaluating network data information security risks is constructed based on the Analytic Hierarchy Process(AHP),and security risk indicators for illegal access and intrusion attacks by different users are evaluated and analyzed.[Results/Conclusion]Using a network information security monitoring system and RSA asymmetric encryption algorithm for data security management can effectively reduce the risks of data eavesdropping,leakage,and tampering during network data transmission and sharing.
关键词
大数据/网络信息/风险框架/应对策略/安全Key words
big data/network information/risk framework/response strategies/security引用本文复制引用
出版年
2024
NETL
NSTL
万方数据