云计算与大数据环境下全方位多角度信息安全技术研究与实践  

Research and Practice of Cloud Computing and Big Data in Omni-directional Multi-angle Information Security Technology

作　　者：邵晓慧[1] 季元翔 乐欢[2] Shao Xiaohui;Ji Yuanxiang;Le Huan(Information Center,Zhejiang Tobacco Monopoly Bureau,Hangzhou 310001,China;Information Center,China Tobacco Zhejiang Industrial Co., LTD,Hangzhou 310024,China)

机构地区：[1]浙江省烟草专卖局信息中心,杭州310001 [2]浙江中烟工业有限责任公司信息中心,杭州310024

出　　处：《科技通报》2017年第1期76-79,共4页Bulletin of Science and Technology

摘　　要：近年来,由于云计算和大数据技术结合,使得信息网络和信息系统基础架构、系统结构发生变化,如何在安全防护策略、机制、技术、产品等方面加强创新,主动适应这些变化,如何落实"人防、物防、技防、制防"的安全管理策略逐渐成为各大研究机构部门的工作重点。本文在全面分析云计算与大数据概念的基础上提出了基于粗糙集理论是数据流风险建模,通过P2P网络结构实践验证了模型的有效性与鲁棒性。提出的模型一方面验证了云环境下数据安全保护的可操作性,另一方面将粗糙集理论引入实现跨学科知识转化与融合。In recent years, the structure of information networks and systems infrastructure is changing due to the combination of cloud computing and big data technologies. How to enhance the innovation of safety precautions in security policy, mechanism, technology, products, etc., and take the initiative to adapt to these changes, how to implement the security management strategy of "human defense, technology defense, physical defense, technology defense, mechanism defense" is becoming the focus of major work in research institutions department. Based on a comprehensive analysis of big data and cloud computing concept, We propose risk modeling of data flow based on rough set theory. Through the P2P network architecture, We test and verify the effectiveness and robustness of the model. the proposed model is not only verified operability of the cloud data security, but also introduce the rough set theory to achieve the transformation and tntegration of cross-disciplinary knowledge.

关 键 词：信息安全 云计算与大数据 信息安全等级保护 粗糙集理论 P2P结构 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]