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Machine Learning for Cyber Security

4th International Conference, ML4CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part III

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Yuan Xu

    1. School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, USA

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  2. Hongyang Yan

    1. Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China

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  3. Huang Teng

    1. Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China

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  4. Jun Cai

    1. Guangdong Polytechnic Normal University, Guangzhou, China

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  5. Jin Li

    1. Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13657)

Included in the following conference series:

Conference proceedings info: ML4CS 2022.

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About this book

The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereed
proceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China.


The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.

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Table of contents (53 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Design of Active Defense System for Railway Communication Network Based on Deep Neural Network

    • Zhenguo Wu
    Pages 1-14

  3. Human Resource Network Information Recommendation Method Based on Machine Learning

    • Xiao Wang
    Pages 15-29

  4. Machine Learning Based Abnormal Flow Analysis of University Course Teaching Network

    • Shaobao Xu, Yongqi Jia
    Pages 30-43

  5. A Learned Multi-objective Bacterial Foraging Optimization Algorithm with Continuous Deep Q-Learning

    • Tianwei Zhou, Wenwen Zhang, Pengcheng He, Guanghui Yue
    Pages 44-53

  6. Webpage Text Detection Based on Improved Faster-RCNN Model

    • Junling Gao, Moran Zhao, Jianchao Wang, Yijin Zhao, Lifang Ma, Pingping Yu
    Pages 54-66

  7. Turbo: A High-Performance and Secure Off-Chain Payment Hub

    • Jinchun He, Wangjie Qiu, Rixin He, Shengda Zhuo, Wanqing Jie
    Pages 67-75

  8. A Complete Information Detection Method for Vehicle CAN Network Gateway Based on Neural Network

    • Shen Jiang, Hailan Zhang
    Pages 76-90

  9. Optimization of Data Transmission Efficiency of Wireless Communication Network for Chemical Energy Monitoring

    • Chengmi Xiang
    Pages 91-105

  10. Deep Spatio-Temporal Decision Fusion Network for Facial Expression Recognition

    • Xuanchi Chen, Heng Yang, Xia Zhang, Xiangwei Zheng, Wei Li
    Pages 106-120

  11. A Tabu-Based Multi-objective Particle Swarm Optimization for Irregular Flight Recovery Problem

    • Tianwei Zhou, Yichen Lai, Xiaojie Huang, Xumin Chen, Huifen Zhong
    Pages 121-132

  12. A Robot Foreign Object Inspection Algorithm for Transmission Line Based on Improved YOLOv5

    • Zhenzhou Wang, Xiaoyue Xie, Xiang Wang, Yijin Zhao, Lifang Ma, Pingping Yu
    Pages 133-147

  13. Path Planning Algorithm Based on A_star Algorithm and Q-Learning Algorithm

    • Xiaodong Zhao, Mengying Cao, Jingfang Su, Yijin Zhao, Shuying Liu, Pingping Yu
    Pages 148-157

  14. Belief \(\chi ^2\) Divergence-Based Dynamical Complexity Analysis for Biological Systems

    • Lang Zhang, Fuyuan Xiao
    Pages 158-167

  15. Local Feature Acquisition Method of Multi-layer Vision Network Image Based on Virtual Reality

    • Jinzhu Liu, Shuai Zheng
    Pages 168-181

  16. Channel Selection for EEG Emotion Recognition via an Enhanced Firefly Algorithm with Brightness-Distance Attraction

    • Ben Niu, Gemin Liang, Bang Tao, Chao Fu, Shuang Geng, Yang Wang et al.
    Pages 182-196

  17. Security Risk Assessment Method of High Voltage Power Communication Network Based on Fuzzy Clustering

    • Zhengjian Duan, Xingguo Li
    Pages 197-211

  18. Trimodal Fusion Network Combined Global-Local Feature Extraction Strategy and Spatial-Frequency Fusion Strategy

    • Danyang Yao, Jinyu Wen, Amei Chen, Meie Fang, Xinhua Wei, Zhigeng Pan
    Pages 212-226

  19. Data Security Risk Prediction of Labor Relationship Rights Protection Network Platform Based on Machine Learning

    • Min Yu
    Pages 227-241

  20. Research on LSTM Based Traffic Flow Prediction Adaptive Beacon Transmission Period and Power Joint Control

    • Botao Tu, Guanxiang Yin, Guoqing Zhong, Nan Jiang, Yuejin Zhang
    Pages 242-250
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Other volumes

  1. Machine Learning for Cyber Security

  2. Machine Learning for Cyber Security

  3. Machine Learning for Cyber Security

Editors and Affiliations

  • School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, USA

    Yuan Xu

  • Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China

    Hongyang Yan, Huang Teng, Jin Li

  • Guangdong Polytechnic Normal University, Guangzhou, China

    Jun Cai

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