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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

SPIoT-2020, Volume 2

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. John MacIntyre

    1. David Goldman Informatics Centre, University of Sunderland, Sunderland, UK

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  2. Jinghua Zhao

    1. University of Shanghai for Science and Technology, Shanghai, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Xiaomeng Ma

    1. Shenzhen University, Shenzen, China

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  • Includes researches in the field of Machine Learning and Big Data Analytics for IoT Security and Privacy
  • Presents the proceedings of the 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6-8, 2020
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1283)

Included in the following conference series:

Conference proceedings info: SPIoT 2021.

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Table of contents (136 papers)

  1. Front Matter

    Pages i-xxxii
    Download chapter PDF

  2. Data-Driven Co-design of Communication, Computing and Control for IoT Security

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Design of a Force Balance Geophone Utilizing Bandwidth Extension and Data Acquisition Interface

      • Xiaopeng Zhang, Xin Li, Tongdong Wang, Weiguo Xiao
      Pages 3-9

    3. Application of 3ds Max Technology in Archaeology

      • Qiwang Zhao, Shaochi Pan
      Pages 10-16

    4. The Application of Virtual Reality Technology in ESP Teaching

      • Xuehong Yuan
      Pages 17-23

    5. Application of Simulation Method Based on Computer Bionic Design

      • Bin Wang
      Pages 24-29

    6. The Implementation and Application of Computer Simulation Technology in PE Teaching

      • Junhua Lu
      Pages 30-38

    7. Construction of College Communities in the New Media Based on Network Environment

      • Min Qiu
      Pages 39-44

    8. Political and Ideological Personnel Management Mode Based on Computer Network

      • Siqi Pu
      Pages 45-52

    9. Analysis of Mapping Knowledge Domain on Health and Wellness Tourism in the Perspective of Cite Space

      • Cheng Wang, Huifan Luo, Ronghong Wang
      Pages 53-59

    10. Application of Smart Retail Mode in Suning.Com

      • Jinzhi Zhai
      Pages 60-67

    11. Construction and Development of High-Tech Smart City

      • Quan Liu
      Pages 68-73

    12. Design and Implementation of Self-service Tourism Management Information System Based on B/S Architecture

      • Yue Meng, Jing Pu, Wenkuan Chen
      Pages 74-81

    13. Chinese Culture Penetration in Teaching Chinese as a Foreign Language in the Era of Mobile Internet

      • Ying Liu
      Pages 82-89

    14. Application and Outlook of Digital Media Technology in Smart Tourism

      • Jing Pu
      Pages 90-96

    15. Accounting Informationization in Computer Network Environment

      • Shirong Qin
      Pages 97-102

    16. Mobile Phone GPS and Sensor Technology in College Students’ Extracurricular Exercises

      • Zhikai Cao
      Pages 103-108

    17. Design of Networking Network Model Based on Network Function Virtualization Technology

      • Jin Bao
      Pages 109-114

    18. Intelligent Media Technology Empowered Brand Communication of Chinese Intangible Cultural Heritage

      • Lei Cui, Xiaofen Shao
      Pages 115-121

    19. Construction Strategy of Smart English Teaching Platform from the Perspective of “Internet + Education”

      • Zhenhua Wei
      Pages 122-128
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Other volumes

  1. The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

  2. The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

Keywords

About this book

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Editors and Affiliations

  • David Goldman Informatics Centre, University of Sunderland, Sunderland, UK

    John MacIntyre

  • University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  • Shenzhen University, Shenzen, China

    Xiaomeng Ma

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