智能化大数据安全监管及系统实现  

Architecture and Realization of Intelligent Big Data Security Supervision System

作　　者：陈天莹 陈剑锋[1,2,3] 

机构地区：[1]中国电子科技网络信息安全有限公司,四川成都610041 [2]中国电科网络空间安全技术重点实验室,四川成都610041 [3]保密通信重点实验室,四川成都610041

出　　处：《通信技术》2017年第2期328-333,共6页Communications Technology

摘　　要：大数据产业应用迅猛发展,数据体量不断增加,信息泄露、信息破坏和信息滥用等恶意事件发生的后果和影响也急剧扩大。这种形势下,对大数据产生、收集、传输、存储、分析、使用过程进行安全监管,掌控敏感数据分布情况,及时发现并阻断数据风险操作,是确保数据安全、隐私和可用性,遏制非法活动、体现技术威慑的重要手段。通过智能技术的导入,推动大数据环境中数据安全监管能力的创新进化,从数据起源、内容识别、策略配置、态势呈现和风险预测等方面分析智能化作用于数据监管的有益效果,给出了一个可用于跨域环境的大数据智能安全监管系统,并对技术发展趋势进行了展望。With the rapid development of big-data industrial applications and the quick growth of data volume, the unexpected security problems and severe consequences expand drastically, such as information leak, information destruction or misuse. In such a situation, to implement security supervision on the processes of big-data production, gathering, transmission, storage, analysis and utilization grasp the overall distribution of sensitive data, timely find and interrupt abnormal or risk behaviors, are crucial meachanisms and important measures in assuring data security, privacy, availability,and in checking illegal criminal attempts and embodying technical deterrence. By introducing intelligent technologies, the innovation and evolution of data security inspection-and-supervision ability in big-data environment could be promoted, and from the aspects of data provenance, content recognition, policy configuration, situation exhibition and risk prediction, the beneficial effects of intelligence on data inspection-and-supervision are analyzed, thus to give an intelligent big-data supervision system suitable for cross-domain environment. Meanwhile, the development trend of this technology is forecasted.

关 键 词：大数据 数据安全监管 人工智能 系统实现 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]