| 基于深度行为分析的网络安全态势感知技术 |
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| 引用本文： | 宾冬梅,杨春燕,余通,凌颖.基于深度行为分析的网络安全态势感知技术[J].微型电脑应用,2022(1):66-69. |
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| 作者姓名： | 宾冬梅 杨春燕 余通 凌颖 |
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| 作者单位： | 广西电网有限责任公司电力科学研究院 |
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| 基金项目： | 广西电网公司科技项目(GXKJXM20180828)。 |
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| 摘 要： | 文章讨论网络安全态势感知技术,使用自适应权重聚类算法得到网络行为分析的聚类结果,且在分析时通过将加权距离优化,保证类间差异最大化.将网络行为分析的聚类结果输入到基于NAWL-ILSTM的网络安全态势感知模型中,通过长短期记忆网络和优化器方法改进Nadam的优化算法(NAWL),共同进行深度学习,得出网络安全态势感知结果...
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| 关 键 词： | 深度行为分析 态势感知 深度神经网络 网络行为 深度学习 |
The Network Security Situational Awareness Technology Based on Deep Behavior Analysis |
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| BIN Dongmei,YANG Chunyan,YU Tong,LING Ying.The Network Security Situational Awareness Technology Based on Deep Behavior Analysis[J].Microcomputer Applications,2022(1):66-69. |
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| Authors: | BIN Dongmei YANG Chunyan YU Tong LING Ying |
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| Affiliation: | (Electric Power Research Institute of Guangxi Power Grid Co. Ltd., Nanning 530023, China) |
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| Abstract: | Network security situation awareness technology uses the adaptive weight clustering algorithm to get the clustering results of network behavior analysis,and optimizes the weighted distance to ensure the maximum difference between classes.The clustering results of network behavior analysis are input into the network security situation awareness model based on NAWL-ILSTM,and the improved long short term memory network is used to obtain the clustering results of network behavior analysis.ILSTM and Look ahead method improve Nadam’s optimization algorithm(NAML)for deep learning,and get the result of network security situation awareness. |
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| Keywords: | deep behavior analysis situation awareness deep neural network network behavior deep learning |
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