[HTML][HTML] 能源关键基础设施网络安全威胁与防御技术综述
李建华 - 电子与信息学报, 2020 - jeit.ac.cn
… On this basis, insightful analysis on the research status and evolution trends of defense …
A deep learning-based feature extraction framework for system security assessment[J]. IEEE …
A deep learning-based feature extraction framework for system security assessment[J]. IEEE …
工业物联网异常检测技术综述
孙海丽， 龙翔， 韩兰胜， 黄炎， 李清波 - 通信学报, 2022 - infocomm-journal.com
… 深度学习(DL, deep learning)是一种具有自 动学习能力的智能算法,是机器学习的一个分支. 由于
DL 对… for cyber attack detection in industrial Internet of things[C]// Proceedings of the 2020 …
DL 对… for cyber attack detection in industrial Internet of things[C]// Proceedings of the 2020 …
[PDF][PDF] 电力物联网终端安全防护研究综述
苏盛， 汪干， 刘亮， 陈清清， 王坤 - 高电压技术, 2022 - csee.org.cn
… AI technologies such as deep learning in the security of IoT … 文献[40]研究表明伪基站也可利
用长期演进(long term evolution, LTE)… Intrusion detection of industrial control system based on …
用长期演进(long term evolution, LTE)… Intrusion detection of industrial control system based on …
生物免疫启发下的一种内生安全技术框架
李玉峰， 曹晨红， 李江涛， 王鹏 - 电信科学, 2021 - infocomm-journal.com
… Performance evaluation of unsupervised techniques in cyber-attack anomaly detection[J].
Journal of Ambient Intelligence and Humanized Computing, 2020, 11(11): 4477-4489. …
Journal of Ambient Intelligence and Humanized Computing, 2020, 11(11): 4477-4489. …
[PDF][PDF] 大数据分析技术在新能源汽车行业的应用综述——基于新能源汽车运行大数据
佘承其， 张照生， 刘鹏， 孙逢春 - 机械工程学报, 2019 - qikan.cmes.org
… Crowdsourcing cybersecurity : Cyber attack detection using … A multi-view deep learning
approach for cross domain user … for estimating the market share evolution of electric vehicles[J…
approach for cross domain user … for estimating the market share evolution of electric vehicles[J…
协同制导控制技术发展现状及展望
苗昊春， 刘重， 王根 - 前瞻科技, 2022 - qianzhankeji.cn
… Distributed unknowninput-observers for cyber attack detection and isolation in formation …
An improved artificial bee colony algorithm based on balance-evolution strategy for unmanned …
An improved artificial bee colony algorithm based on balance-evolution strategy for unmanned …