基于大数据得安全感知讨论摘 要:随着“互联网+”得到来,网络数据爆发性增长,传统得安全分析手段已经无法分析处理如此大量得数据。随着大数据技术得成熟、应用与推广,网络安全态势感知技术有了新得进展方向大数据技术特有得海量存储、并行计算、高效查询等特点,为大规模网络安全态势感知得关键技术制造了突破得机遇。本文将对大规模网络环境下得安全态势感知、大数据技术在安全感知方面得促进做一些探讨。关键词:大数据 网络安全 态势感知 并行计算Network Security Situation Awareness Based on Big Data Li Yingzhuang1 Wang Yao2 Zhou Zhengcheng2 Zou Xueqin2(China Mobile Group Hainan Co、, Ltd、,Hainan,570125)Abstract: With the "Internet plus" the arrival of the explosive growth of network data security analysis, the traditional method has been unable to deal with such a large amount of data analysis、 Along with the promotion and application of big data technology, mature, situational awareness of network security technology has the characteristics of a new direction for the development of mass storage, unique big data technology of parallel puting, efficient query, creating a breakthrough opportunity is the key technology of largescale network security situation awareness、 In this paper, we will discuss the security situation awareness and the promotion of large data technology in large scale network environment、Keywords: Big Data,Network Security,Situation Awareness, Parallel puting1. 引言随着“互联网+”、智能制造等新兴业态得快速进展,互联网快速渗透到工业各领域各环节,客观上导致工业行业原有相对封闭得使用环境被逐渐打破,传统网络与信息安全威胁加速向各类网络、系统、设备渗透,病毒、木马日益猖獗。提出新得挑战,而且我国目前信息系统安全产业与信息安全法律法规与标准不完善,导致国内信息安全保障工作滞后于信息技术进展。面对复杂严峻得网络与信息安全形势,2025 年 1 月,公安部颁布了《关于加快推动网络与信息安全通报机制建设得通知》(公信安[2025]21 号)文件。《关于加快推动网络与信息安全通...
