摘要
目前,大数据的广泛应用为各行业在信息化变革的道路上带来了巨大的挑战和前所未有的机遇,通过对大数据的深度挖掘和处理,可以不断增强统计分析的科学性和实用性,进而延展出更广阔的商机。然而,大数据一方面为生产效率带来了巨大的推动作用,另一方面,大数据自身结构也存在着若干安全隐患。随着数据规模的不断增加,汇聚成炙手可热的数据＂金矿＂,导致互联网上对其的争夺持续加剧,大数据的安全管控、隐私保护和合规合法等问题已经非常突出。随着物联网规模的壮大,云计算技术的不断成熟,大数据平台和云计算技术的紧密联系与协同发展也成为必然。大数据存在大风险,但同样可以结合云计算技术在安全管理上通过主动识别、预测、抢先部署防范攻击和智能学习、自适应安全架构等措施,创立＂云安全＂管理的新型管理模式。同时设备之间的联结以及安全管理经验的积累都可进一步归纳、汇聚为所谓的＂云安全＂大数据,从而获得对安全事故的响应能力的飞速提升。
at present,widely used for large data industry has brought tremendous challenges and opportunities in the information technology revolution hitherto unknown on the road,through the depth of mining and processing of large data,can enhance the statistical analysis of scientific and practical,and extend a broader business opportunities.However,big data on the one hand has brought great impetus to the efficiency of production,on the other hand,there are some security risks in the structure of big data itself.With the continuous increase of data scale,the convergence of hot data ＂gold mine＂,resulting in the Internet continues to intensify its contention,big data security control,privacy protection and compliance and other issues have been very prominent.With the growing scale of Internet of things,cloud computing technology continues to mature,the big data platform and cloud computing technology close contact and collaborative development has become inevitable. Big data has great risks,but it can also be combined with cloud computing technology in security management,through active identification,prediction,preemptive deployment,attack prevention and intelligent learning,adaptive security architecture and other measures,the creation of ＂ cloud security＂ management of new management mode.At the same time,the connection between devices and the accumulation of safety management experience can be further summarized,converged into the so-called ＂ cloud security＂ big data,thereby obtaining rapid response to the security incidents response capabilities.
作者
梁智强
林丹生
黄汝成
LIANG Zhiqiang;LIN Dansheng;HUANG Rucheng(Jack Neo （first）Electric Power Research Institute of Guangdong Power Grid Co. ,Ltd. , Guangdong Guangzhou ,510080;Huang Rucheng Guangzhou YUENENG Information Technology Co. Ltd. , Guangzhou Guangdong, 510080)
出处
《自动化与仪器仪表》
2018年第7期189-191,196,共4页
Automation & Instrumentation
关键词
大数据
云计算
云安全管理
big data
cloud computing
cloud security management
