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Volume 11 Issue 2
Feb.  2024

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2024  >  11(2): 279-282
L. Fan, C. Zeng, Y. Wang, J. Ma, F.-Y. Wang, “Social radars: finding targets in cyberspace for cybersecurity,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 279–282, Feb. 2024. doi: 10.1109/JAS.2024.124251
Citation: L. Fan, C. Zeng, Y. Wang, J. Ma, F.-Y. Wang, “Social radars: finding targets in cyberspace for cybersecurity,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 279–282, Feb. 2024. doi: 10.1109/JAS.2024.124251
shu

Social Radars: Finding Targets in Cyberspace for Cybersecurity

doi: 10.1109/JAS.2024.124251
  • 1.

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    School of Science, Dalian Minzu University, Dalian 116600, China

  • 3.

    State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

  • 4.

    Department of Civil and Environmental Engineering, University of California, Los Angeles, CA 90024 USA

  • 5.

    State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing 100190, China

  • 6.

    Faculty of Innovation Engineering, Macau University of Science and Technology, Macau 999078, China

Funds:

the National Key Research and Development Program of China 2023YFB3209800

China Postdoctoral Science Foundation 2023M740264

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  • [1]
    H. D. Lasswell, “The Structure and Function of Communication in Society,” The communication of ideas, vol. 37, no. 1, pp. 136–139, 1948.
    [2]
    W. L. Schramm and W. E. Porter, Men, women, messages, and media : understanding human communication, 2nd ed. Harper Row, 1982.
    [3]
    F. -Y. Wang, “Social Media and the Jasmine Revolution,” IEEE Intelligent Systems, vol. 26, no. 2, p. 2–4, mar 2011. doi: 10.1109/MIS.2011.34
    [4]
    J. Mathieu, M. Fulk, M. Lorber et al., “Social Radar Workflows, Dashboards, and Environments,” in NATO Human Factors and Medicine Panel HFM-201-Specialists Meeting on Social Media: Risks and Opportunities in Military Applications, 2012, pp. 1–25.
    [5]
    A. Velasquez and R. LaRose, “Social Media for Social Change: Social Media Political Efficacy and Activism in Student Activist Groups,” Journal of Broadcasting & Electronic Media, vol. 59, no. 3, pp. 456–474, 2015.
    [6]
    Q. Hou, M. Han, and Z. Cai, “Survey on Data Analysis in Social Media: A Practical Application Aspect,” Big Data Mining and Analytics, vol. 3, no. 4, pp. 259–279, 2020. doi: 10.26599/BDMA.2020.9020006
    [7]
    M. Maybury, “Social Radar for Smart Power,” Advances in CrossCultural Decision Making, pp. 26–36, 2010.
    [8]
    J. Cao, K. Zeng, H. Wang et al., “Web-Based Traffic Sentiment Analysis: Methods and Applications,” IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 2, pp. 844–853, 2014. doi: 10.1109/TITS.2013.2291241
    [9]
    B. Costa and J. Boiney, “Social Radar,” MITRE, McLean, Virginia, USA, 2012.
    [10]
    B. Xu, J. Yi, F. Cheng et al., “High-Accuracy Target Tracking for Multistatic Passive Radar Based on a Deep Feedforward Neural Network,” Frontiers of Information Technology & Electronic Engineering, vol. 24, no. 8, pp. 1214–1230, 2023.
    [11]
    Y. Liu, Y. Shen, L. Fan et al., “Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems,” Sensors, vol. 22, no. 24, p. 9930, 2022. doi: 10.3390/s22249930
    [12]
    H. Liu, M. Zhou, X. Lu et al., “Analysis of Evolutionary Social Media Activities: Pre-Vaccine and Post-Vaccine Emergency Use,” IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 4, pp. 1090–1092, 2023. doi: 10.1109/JAS.2023.123156
    [13]
    L. Fan, C. Zeng, H. Liu et al., “Sea-Net: Visual Cognition-enabled Sample and Embedding Adaptive Network for SAR Image Object Classification,” IEEE Transactions on Intelligent Vehicles, pp. 1–14, 2023.
    [14]
    L. Fan, D. Cao, C. Zeng et al., “Cognitive-Based Crack Detection for Road Maintenance: An Integrated System in Cyber-Physical-Social Systems,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 6, pp. 3485–3500, 2023. doi: 10.1109/TSMC.2022.3227209
    [15]
    F. -Y. Wang, “The DAO to Metacontrol for Metasystems in Metaverses: The System of Parallel Control Systems for Knowledge Automation and Control Intelligence in CPSS,” IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 11, pp. 1899–1908, 2022. doi: 10.1109/JAS.2022.106022
    [16]
    L. Fan, C. Zeng, Z. Meng et al., “A Secured Vehicle Brain: DAO-Based Collaborative Perception and Decision-Making Systems for Intelligent Vehicles in CPSS,” IEEE Transactions on Intelligent Vehicles, pp. 1–3, 2023.
    [17]
    W. Gu, R. Ai, J. Liu et al., “Application of Dynamic Deformable Attention in Bird's-Eye-View Detection,” IEEE Journal of Radio Frequency Identification, vol. 6, pp. 886–890, 2022. doi: 10.1109/JRFID.2022.3210696
    [18]
    L. Wang, X. Zhang, Z. Song et al., “Multi-Modal 3D Object Detection in Autonomous Driving: A Survey and Taxonomy,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 7, pp. 3781–3798, 2023. doi: 10.1109/TIV.2023.3264658
    [19]
    F. -Y. Wang, “Parallel Intelligence in Metaverses: Welcome to Hanoi!" IEEE Intelligent Systems, vol. 37, no. 1, pp. 16–20, 2022. doi: 10.1109/MIS.2022.3154541
    [20]
    A. Joshi, S. Capezza, A. Alhaji et al., “Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems,” IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 7, pp. 1513–1529, 2023. doi: 10.1109/JAS.2023.123657
    [21]
    X. Meng, Y. Liu, L. Fan et al., “YOLOv5s-Fog: An Improved Model Based on YOLOv5s for Object Detection in Foggy Weather Scenarios,” Sensors, vol. 23, no. 11, p. 5321, 2023. doi: 10.3390/s23115321
    [22]
    M. Tian, X. Li, S. Kong et al., “A Modified YOLOv4 Detection Method for a Vision-Based Underwater Garbage Cleaning Robot,” Frontiers of Information Technology & Electronic Engineering, vol. 23, no. 8, pp. 1217–1228, 2022.
    [23]
    L. Floridi and M. Chiriatti, “GPT-3: Its Nature, Scope, Limits, and Consequences,” Minds and Machines, vol. 30, pp. 681–694, 2020. doi: 10.1007/s11023-020-09548-1
    [24]
    L. Fan, D. Wang, J. Wang et al., “Pavement Defect Detection with Deep Learning: A Comprehensive Survey,” IEEE Transactions on Intelligent Vehicles, pp. 1–21, 2023.
    [25]
    H. Yu, Y. Wang, Y. Tian et al., “Social Vision for Intelligent Vehicles: From Computer Vision to Foundation Vision,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 11, pp. 4474–4476, 2023.
    [26]
    L. Fan, S. Li, Y. Li et al., “Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach,” IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 7, pp. 1593–1607, 2023. doi: 10.1109/JAS.2023.123447
    [27]
    D. Ciuriak, “The Role of Social Media in Russia's War on Ukraine,” Available at SSRN 4078863, pp. 1–9, 2022.
    [28]
    X. Liu, M. Yan, L. Deng et al., “Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey,” IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 2, pp. 205–234, 2021. doi: 10.1109/JAS.2021.1004311
    [29]
    L. Fan, H. Zhao, H. Zhao et al., “Distribution Structure Learning Loss (DSLL) Based on Deep Metric Learning for Image Retrieval,” Entropy, vol. 21, no. 11, pp. 1121–1142, 2019.
    [30]
    F. -Y. Wang, “Real-time Social Transportation With Online Social Signals,” IEEE Transactions on Intelligent Transportation Systems, vol. 3, no. 15, pp. 909–914, 2014.
    [31]
    B. Li, G. Wu, Y. He et al., “An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem,” IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 7, pp. 1115–1138, 2022. doi: 10.1109/JAS.2022.105677
    [32]
    J. Chen, S. Tao, S. Teng et al., “Toward Sustainable Intelligent Transportation Systems in 2050: Fairness and Eco-Responsibility,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 6, pp. 3537–3540, 2023.
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