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Machine Learning for Cyber Security

Third International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part III

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Xiaofeng Chen

    1. Xidian University, Xi'an, China

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  2. Hongyang Yan

    1. Guangzhou University, Guangzhou, China

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  3. Qiben Yan

    1. Michigan State University, East Lansing, USA

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  4. Xiangliang Zhang

    1. Division of Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science, Thuwal, Saudi Arabia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12488)

Part of the book sub series: Security and Cryptology (LNSC)

Included in the following conference series:

Conference proceedings info: ML4CS 2020.

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Table of contents (51 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Deep Convolutional Neural Network Based Image Segmentation for Salt Mine Recognition

    • Ming Tao, Xueqiang Li, Kai Ding
    Pages 1-10

  3. Optimization of Collaborative Filtering Algorithm in Movie Recommendation System

    • Jiao Peng, Shu Gong
    Pages 11-19

  4. TagRec: Trust-Aware Generative Adversarial Network with Recurrent Neural Network for Recommender Systems

    • Honglong Chen, Shuai Wang, Nan Jiang, Zhe Li, Na Yan, Leyi Shi
    Pages 20-32

  5. Software Entity Recognition Method Based on BERT Embedding

    • Chao Sun, Mingjing Tang, Li Liang, Wei Zou
    Pages 33-47

  6. A Classification Method of Land Cover Based on Support Vector Machines

    • Kai Ding, Chisheng Wang, Ming Tao, Huijuan Xiao, Chao Yang, Peican Huang
    Pages 48-54

  7. Temporal Consistency Based Deep Face Forgery Detection Network

    • Chunlei Peng, Wenbo Zhang, Decheng Liu, Nannan Wang, Xinbo Gao
    Pages 55-63

  8. CBOW and LSTM Based User Mobile Trajectory Prediction

    • Geng Sun, Ming Tao
    Pages 64-73

  9. Framework Optimization for Face Recognition

    • Chao Chen, Xin Wang, Yong-Xin He
    Pages 74-85

  10. Machine Learning Assisted OSP Approach for Improved QoS Performance on 3D Charge-Trap Based SSDs

    • Zongwei Zhu, Chao Wu, Cheng Ji, Xianmin Wang
    Pages 86-99

  11. A Location Method for Reliability-Critical Paths Based on Monte Carlo Search Tree

    • Ziwen Sun, Qiou Ji, Zecheng Wu, Aizhu Liu
    Pages 100-114

  12. Research of Expressway Vehicle Detection Based on Faster R-CNN and Domain Adaptation

    • Meng Yu, Yong Hu, Guanxiang Yin, Fei Du, Meng Wang, Yuejin Zhang
    Pages 115-124

  13. A Short-Term Traffic Flow Forecasting Method Based on Support Vector Regression Optimized by Genetic Algorithm

    • Aiyun Zhan, Fei Du, Guanxiang Yin, Meng Wang, Yuejin Zhang
    Pages 125-134

  14. Short-Term Traffic Flow Prediction Based on Hybrid Model

    • Yong Hu, Meng Yu, Guanxiang Yin, Fei Du, Meng Wang, Yuejin Zhang
    Pages 135-143

  15. Uneven Clustering Routing Protocol for Geological Disaster Monitoring Sensor Network

    • Yicheng Wei, Xun Wang, Xu Gou, Zhaoma Pan, Zhi Li
    Pages 144-159

  16. Clustering Analysis Method of Ethnic Cultural Resources Based on Deep Neural Network Model

    • Mingjing Tang, Chao Sun, Li Liang
    Pages 160-170

  17. Optimal Group Consensus of Second-Order Multi-agent Systems

    • Yize Yang, Hongyong Yang, Yuling Li, Yuanshan Liu
    Pages 171-182

  18. A Novel Game Machine Learning Method for Calculating Optimal Response for Edge Server

    • Rui Zhang, Hui Xia, Ju-fu Cui, Yi-zhe Li, Shu-shu Shao, Hang Ren
    Pages 183-192

  19. SDUW-Net: An Effective Retinal Vessel Segmentation Model

    • Hongkai Lin, Hongliang Kang, Xinrong Cao
    Pages 193-202

  20. A New Mobility Model Based on Markov Chain for MANETs

    • Tieyuan Liu, Tianlong Gu, Liang Chang, Hongzhuan Zhao
    Pages 203-214
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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

This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020.

The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning,  Malware detection and analysis,  Data mining, and  Artificial Intelligence.

Editors and Affiliations

  • Xidian University, Xi'an, China

    Xiaofeng Chen

  • Guangzhou University, Guangzhou, China

    Hongyang Yan

  • Michigan State University, East Lansing, USA

    Qiben Yan

  • Division of Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science, Thuwal, Saudi Arabia

    Xiangliang Zhang

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