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Big Data Intelligence and Computing

International Conference, DataCom 2022, Denarau Island, Fiji, December 8–10, 2022, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ching-Hsien Hsu

    1. Asia University, Taichung, Taiwan

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  2. Mengwei Xu

    1. Beijing University of Posts and Telecommunications, Beijing, China

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  3. Hung Cao

    1. University of New Brunswick, Fredericton, Canada

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  4. Hojjat Baghban

    1. Asia University, Taichung, Taiwan

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  5. A. B. M. Shawkat Ali

    1. University of Fiji, Samabula, Fiji

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13864)

Included in the following conference series:

Conference proceedings info: DataCom 2022.

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Table of contents (40 papers)

  1. Front Matter

    Pages i-xviii
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  2. Big Data Algorithm and Systems

    1. Front Matter

      Pages 1-1
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    2. Tiansuan Constellation

      • Yingxi Tang
      Pages 3-21

    3. Adopting a Deep Learning Split-Protocol Based Predictive Maintenance Management System for Industrial Manufacturing Operations

      • Biswaranjan Senapati, Bharat S. Rawal
      Pages 22-39

    4. A Digital Twin for Bus Operation in Public Urban Transportation Systems

      • Patricia Ruiz, Marcin Seredynski, Álvaro Torné, Bernabé Dorronsoro
      Pages 40-52

    5. Predicting Residential Property Valuation in Major Towns and Cities on Mainland Fiji

      • Kunal Maharaj, Kunal Kumar, Neeraj Sharma
      Pages 53-68

    6. Designing an AI-Driven Talent Intelligence Solution: Exploring Big Data to Extend the TOE Framework

      • Ali Faqihi, Shah J. Miah
      Pages 69-82

    7. Development of Bilingual Chatbot for University Related FAQs Using Natural Language Processing and Deep Learning

      • Rishal Ravikesh Chand, Neeraj Anand Sharma
      Pages 83-94

    8. Machine Learning Algorithms Performance Investigation in Fake News Detection

      • Monesh Sami, A. B. M. Shawkat Ali
      Pages 95-110

  3. Big Data Privacy and Security

    1. Front Matter

      Pages 111-111
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    2. Robust Graph Embedding Recommendation Against Data Poisoning Attack

      • Junyan Zhong, Chang Liu, Huibin Wang, Lele Tian, Han Zhu, Chan-Tong Lam
      Pages 113-126

    3. A Secure Sharing Framework Based on Cloud-Chain Fusion for SWIM

      • Qing Wang, Xin Lu, Zhijun Wu
      Pages 127-141

    4. Privacy-Protective Distributed Machine Learning Between Rich Devices and Edge Servers Using Confidence Level

      • Saki Takano, Akihiro Nakao, Saneyasu Yamaguchi, Masato Oguchi
      Pages 142-154

    5. A Novel Approach of Securing Medical Cyber Physical Systems (MCPS) from DDoS Attacks

      • Brij. B. Gupta, Kwok Tai Chui, Varsha Arya, Akshat Gaurav
      Pages 155-165

    6. LTCS: Lightweight Tree-Chain Scheme for ADS-B Data Authentication

      • Haoran Cui, Shibo Zhu, Meng Yue
      Pages 166-177

    7. Electronic and Remote Voting Systems: Solutions to Existing Problems – An Experimental Approach to Secure Voting Platforms on Endpoints

      • Sagar Swamy Rajan, Neeraj Anand Sharma
      Pages 178-193

    8. Research on the Mechanism of Cooperative Defense Against DDoS Attacks Based on Game Theory

      • Tong Wang, Zihan Lai, Weiqing Yu, Zhijun Wu
      Pages 194-203

    9. Detection of Malicious Node in VANETs Using Digital Twin

      • Varsha Arya, Akshat Gaurav, Brij B. Gupta, Ching-Hsien Hsu, Hojjat Baghban
      Pages 204-212

  4. Big Data Analytics and Applications

    1. Front Matter

      Pages 213-213
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    2. The Storage and Sharing of Big Data in Air Traffic Management System

      • Yuan Zhang, Qing Wang, Jiahao Li, Zhijun Wu
      Pages 215-229
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  1. Big Data Intelligence and Computing

Keywords

About this book

This book constitutes the proceedings of the International Conference on Big Data Intelligence and Computing, DataCom 2022, which took place in Denarau Island, Fiji, in December 2022.
The 30 full papers included in this volume were carefully reviewed and selected from 88 submissions. The papers detail big data analytics solutions, distributed computation paradigms, on-demand services, autonomic systems, and pervasive applications.

Editors and Affiliations

  • Asia University, Taichung, Taiwan

    Ching-Hsien Hsu, Hojjat Baghban

  • Beijing University of Posts and Telecommunications, Beijing, China

    Mengwei Xu

  • University of New Brunswick, Fredericton, Canada

    Hung Cao

  • University of Fiji, Samabula, Fiji

    A. B. M. Shawkat Ali

Bibliographic Information

  • Book Title: Big Data Intelligence and Computing

  • Book Subtitle: International Conference, DataCom 2022, Denarau Island, Fiji, December 8–10, 2022, Proceedings

  • Editors: Ching-Hsien Hsu, Mengwei Xu, Hung Cao, Hojjat Baghban, A. B. M. Shawkat Ali

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-99-2233-8

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Softcover ISBN: 978-981-99-2232-1Published: 01 May 2023

  • eBook ISBN: 978-981-99-2233-8Published: 30 April 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 560

  • Number of Illustrations: 43 b/w illustrations, 176 illustrations in colour

  • Topics: Computer Communication Networks

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