Mining Method of Code Vulnerability of Multi-Source Power IoT Terminal Based on Reinforcement Learning

被引：0
|
作者：
Yang, Hao [1 ]
Zhang, Junfeng [2 ]
Li, Jun [2 ]
Xie, Xin [3 ]
机构：
[1] State Grid Jiangxi Electric Power Research Institute, Nanchang, China
[2] State Grid Jiangxi Electric Power Co. Ltd, Nanchang, China
[3] East China Jiaotong University, Nanchang, China
来源：
International Journal of Network Security | 2023年 / 25卷 / 03期
关键词：
Compendex;
D O I：
10.6633/IJNS.202305_25(3).07
中图分类号：
学科分类号：
摘要：
Trees (mathematics)
引用
收藏
页码：436 / 448
相关论文
共 50 条
  • [31] Multi-source rainfall fusion method based on ConvLSTM
    Yang, Xin
    Zhang, Jianyun
    Zhou, Jianzhong
    Fang, Wei
    [J]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2022, 50 (08): : 33 - 39
  • [32] The Mining of Urban Hotspots Based on Multi-Source Location Data Fusion
    Cai, Li
    Wang, Haoyu
    Sha, Cong
    Jiang, Fang
    Zhang, Yihan
    Zhou, Wei
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (02) : 2061 - 2077
  • [33] Quantitative identification method of landslide hazard in rare earth mining area based on multi-source data
    Dai, Meiyi
    Li, Hengkai
    Long, Beiping
    Wang, Xiuli
    [J]. Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology, 2024, 53 (01): : 198 - 210
  • [34] Research and Progress on Learning-Based Source Code Vulnerability Detection
    Su, Xiao-Hong
    Zheng, Wei-Ning
    Jiang, Yuan
    Wei, Hong-Wei
    Wan, Jia-Yuan
    Wei, Zi-Yue
    [J]. Jisuanji Xuebao/Chinese Journal of Computers, 2024, 47 (02): : 337 - 374
  • [35] A Hybrid Photovoltaic Power Prediction Model Based on Multi-source Data Fusion and Deep Learning
    Si, Zhiyuan
    Yang, Ming
    Yu, Yixiao
    Ding, Tingting
    Li, Menglin
    [J]. 2020 IEEE STUDENT CONFERENCE ON ELECTRIC MACHINES AND SYSTEMS (SCEMS 2020), 2020, : 608 - 613
  • [36] KFCM algorithm based on the source code mining method study
    Wang, Xun
    [J]. 2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA), 2014, : 586 - 588
  • [37] Multi-source transfer learning based on label shared subspace
    Fang, Min
    Guo, Yong
    Zhang, Xiaosong
    Li, Xiao
    [J]. PATTERN RECOGNITION LETTERS, 2015, 51 : 101 - 106
  • [38] Multi-source transfer ELM-based Q learning
    Pan, Jie
    Wang, Xuesong
    Cheng, Yuhu
    Cao, Ge
    [J]. NEUROCOMPUTING, 2014, 137 : 57 - 64
  • [39] Research of Power Grid Fault Diagnosis and Intelligent Analysis Method Based on Multi-Source Information
    Wu, Qingquan
    Huang, Le
    Deng, Houbing
    [J]. PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MECHATRONICS, COMPUTER AND EDUCATION INFORMATIONIZATION (MCEI 2016), 2016, 130 : 303 - 309
  • [40] Intelligent Collaborative Control of Multi-source Heterogeneous Data Streams for Low-Power IoT: A Flow Machine Learning Approach
    Yu, Haisheng
    Kumar, Rajesh
    Wang, Wenyong
    Zhang, Ji
    Liu, Zhifeng
    Zou, Sai
    Yang, Jiangchuan
    Hon, Leong Io
    [J]. ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2023, PT IV, 2024, 14490 : 359 - 377
12345