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Machine Learning for Cyber Security

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

  • 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 13656)

Included in the following conference series:

Conference proceedings info: ML4CS 2022.

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Table of contents (50 papers)

  1. Front Matter

    Pages i-xvii
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  2. AMAD: Improving Adversarial Robustness Without Reducing Accuracy

    • Yujie Lin, Ximeng Liu, Nan Jiang
    Pages 1-14

  3. Multi-party Secure Comparison of Strings Based on Outsourced Computation

    • Xin Zhang, Chao Shan, Yunfeng Zou
    Pages 15-30

  4. Highway: A Super Pipelined Parallel BFT Consensus Algorithm for Permissioned Blockchain

    • Zui Luo, Chang Chen, Wangjie Qiu
    Pages 31-38

  5. Overview of DDoS Attack Research Under SDN

    • Lei Guo, Shan Jing, Chuan Zhao
    Pages 39-53

  6. A Medical Image Segmentation Method Based on Residual Network and Channel Attention Mechanism

    • Sikai Liu, Fei Wu, Jinghong Tang, Bo Li
    Pages 54-60

  7. Performance Improvement of Classification Model Based on Adversarial Sample Generation

    • Qian Jiang, Jie Kang, Zhendong Wu
    Pages 61-74

  8. Research on Detection Method of Large-Scale Network Internal Attack Based on Machine Learning

    • Chang Liu, Chaozhong Long, Yuchuan Yu, Ziqi Lin
    Pages 75-88

  9. Federated Community Detection in Social Networks

    • Zhiwei Zheng, Zekai Chen, Ximeng Liu, Nan Jiang
    Pages 89-103

  10. A Textual Adversarial Attack Scheme for Domain-Specific Models

    • Jialiang Dong, Shen Wang, Longfei Wu, Huoyuan Dong, Zhitao Guan
    Pages 104-117

  11. An Improved Conv-LSTM Method for Gear Fault Detection

    • Yang Zhang, Jianwu Zhang, Guanhong Zhang, Hong Li
    Pages 118-129

  12. Extracting Random Secret Key Scheme for One-Time Pad Under Intelligent Connected Vehicle

    • Junjie Chu, Mu Han, Shidian Ma
    Pages 130-143

  13. Semi-supervised Learning with Nearest-Neighbor Label and Consistency Regularization

    • Guolin Zheng, Zuoyong Li, Wenkai Hu, Haoyi Fan, Fum Yew Ching, Zhaochai Yu et al.
    Pages 144-154

  14. Bipolar Picture Fuzzy Graph Based Multiple Attribute Decision Making Approach–Part I

    • Shu Gong, Gang Hua
    Pages 155-164

  15. Priv-IDS: A Privacy Protection and Intrusion Detection Framework for In-Vehicle Network

    • Simin Li, Mu Han
    Pages 165-179

  16. Dynamic Momentum for Deep Learning with Differential Privacy

    • Guanbiao Lin, Hu Li, Yingying Zhang, Shiyu Peng, Yufeng Wang, Zhenxin Zhang et al.
    Pages 180-190

  17. An Unsupervised Surface Anomaly Detection Method Based on Attention and ASPP

    • Yuhui Huang, Xin Xie, Weiye Ning, Dengquan Wu, Zixi Li, Hao Yang
    Pages 191-201

  18. PCB Defect Detection Method Based on Improved RetinaNet

    • Yusheng Xu, Xinrong Cao, Rong Hu, Pantea Keikhosrokiani, Zuoyong Li
    Pages 202-213

  19. A Method of Protecting Sensitive Information in Intangible Cultural Heritage Communication Network Based on Machine Learning

    • Xiaoyu Zhang, Ye Jin
    Pages 214-227

  20. Decision Making Analysis of Traffic Accidents on Mountain Roads in Yunnan Province

    • Shu Gong, Gang Hua
    Pages 228-237
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Other volumes

  1. Machine Learning for Cyber Security

  2. Machine Learning for Cyber Security

  3. Machine Learning for Cyber Security

Keywords

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.


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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