工程科学学报 Chinese Journal of Engineering 基于强化学习的工控系统恶意软件行为检测方法 高洋王礼伟任望谢丰莫晓锋罗熊王卫苹杨玺 Reinforcement learning-based detection method for malware behavior in industrial control systems GAO Yang.WANG Li-wei,REN Wang.XIE Feng.,MO Xiao-feng.LUO Xiong.WANG Wei-ping.YANG Xi 引用本文： 高洋，王礼伟，任望，谢丰，莫晓锋，罗熊，王卫苹，杨玺.基于强化学习的工控系统恶意软件行为检测方法工程科学学报， 2020,42(4:455-462.doi:10.13374j.issn2095-9389.2019.09.16.005 GAO Yang,WANG Li-wei,REN Wang.XIE Feng.MO Xiao-feng.LUO Xiong.WANG Wei-ping,YANG Xi.Reinforcement learning-based detection method for malware behavior in industrial control systems[J].Chinese Journal of Engineering,2020,42(4): 455-462.doi:10.13374j.issn2095-9389.2019.09.16.005 在线阅读View online:https::/oi.org10.13374.issn2095-9389.2019.09.16.005 您可能感兴趣的其他文章 Articles you may be interested in 基于管道流体信号的自振射流特性检测方法 Detection method of the self-resonating waterjet characteristic based on the flow signal in a pipeline 工程科学学报.2019,41(3：377htps:/ldoi.org10.13374.issn2095-9389.2019.03.011 基于增强学习算法的插电式燃料电池电动汽车能量管理控制策略 Energy management control strategy for plug-in fuel cell electric vehicle based on reinforcement learning algorithm 工程科学学报.2019,41(10)：1332htps:1doi.org/10.13374斩.issn2095-9389.2018.10.15.001 基于最大池化稀疏编码的煤岩识别方法 A coal-rock recognition method based on max-pooling sparse coding 工程科学学报.2017,397)：981 https::/1doi.org10.13374j.issn2095-9389.2017.07.002 文本生成领域的深度强化学习研究进展 Research progress of deep reinforcement learning applied to text generation 工程科学学报.2020,42(4：399 https:/1doi.org/10.13374.issn2095-9389.2019.06.16.030 基于GPR反射波信号多维分析的隧道病害智能辨识 An intelligent identification method to detect tunnel defects based on the multidimensional analysis of GPR reflections 工程科学学报.2018,40(3：293htps:doi.org10.13374j.issn2095-9389.2018.03.005基于强化学习的工控系统恶意软件行为检测方法 高洋 王礼伟 任望 谢丰 莫晓锋 罗熊 王卫苹 杨玺 Reinforcement learning-based detection method for malware behavior in industrial control systems GAO Yang, WANG Li-wei, REN Wang, XIE Feng, MO Xiao-feng, LUO Xiong, WANG Wei-ping, YANG Xi 引用本文: 高洋, 王礼伟, 任望, 谢丰, 莫晓锋, 罗熊, 王卫苹, 杨玺. 基于强化学习的工控系统恶意软件行为检测方法[J]. 工程科学学报, 2020, 42(4): 455-462. doi: 10.13374/j.issn2095-9389.2019.09.16.005 GAO Yang, WANG Li-wei, REN Wang, XIE Feng, MO Xiao-feng, LUO Xiong, WANG Wei-ping, YANG Xi. Reinforcement learning-based detection method for malware behavior in industrial control systems[J]. Chinese Journal of Engineering, 2020, 42(4): 455-462. doi: 10.13374/j.issn2095-9389.2019.09.16.005 在线阅读 View online: https://doi.org/10.13374/j.issn2095-9389.2019.09.16.005 您可能感兴趣的其他文章 Articles you may be interested in 基于管道流体信号的自振射流特性检测方法 Detection method of the self-resonating waterjet characteristic based on the flow signal in a pipeline 工程科学学报. 2019, 41(3): 377 https://doi.org/10.13374/j.issn2095-9389.2019.03.011 基于增强学习算法的插电式燃料电池电动汽车能量管理控制策略 Energy management control strategy for plug-in fuel cell electric vehicle based on reinforcement learning algorithm 工程科学学报. 2019, 41(10): 1332 https://doi.org/10.13374/j.issn2095-9389.2018.10.15.001 基于最大池化稀疏编码的煤岩识别方法 A coal-rock recognition method based on max-pooling sparse coding 工程科学学报. 2017, 39(7): 981 https://doi.org/10.13374/j.issn2095-9389.2017.07.002 文本生成领域的深度强化学习研究进展 Research progress of deep reinforcement learning applied to text generation 工程科学学报. 2020, 42(4): 399 https://doi.org/10.13374/j.issn2095-9389.2019.06.16.030 基于GPR反射波信号多维分析的隧道病害智能辨识 An intelligent identification method to detect tunnel defects based on the multidimensional analysis of GPR reflections 工程科学学报. 2018, 40(3): 293 https://doi.org/10.13374/j.issn2095-9389.2018.03.005