CAJ | 학술논문

随着网络规模和应用的迅速扩大，网络安全威胁不断增加，单一的网络安全防护技术已经不能满足需要。网络安全态势感知能够从整体上动态反映网络安全状况并对网络安全的发展趋势进行预测，大数据的特点为大规模网络安全态势感知研究的突破创造了机遇。文章在介绍网络安全态势相关概念和技术的基础上，对利用大数据开展基于多源日志的网络安全态势感知研究进行了探讨。
수착망락규모화응용적신속확대，망락안전위협불단증가，단일적망락안전방호기술이경불능만족수요。망락안전태세감지능구종정체상동태반영망락안전상황병대망락안전적발전추세진행예측，대수거적특점위대규모망락안전태세감지연구적돌파창조료궤우。문장재개소망락안전태세상관개념화기술적기출상，대이용대수거개전기우다원일지적망락안전태세감지연구진행료탐토。
With the rapid expansion of the network scale and its applications, network security threats continue to increase, a single network security technology could not meet the requirement. Network security situation awareness can dynamical y reflect the overal network security and predict network security development trends. Characteristics of big data create opportunity for research breakthrough of large scale network situation awareness. Based on concept and technique introduction of network security situation awareness, this article discusses about research of network security situation awareness based on multi-source journal by utilizing big data analysis.