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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

9th International Conference, FDSE 2022, Ho Chi Minh City, Vietnam, November 23–25, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Tran Khanh Dang

    1. Ho Chi Minh City University of Food Industry, Ho Chi Minh City, Vietnam

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  2. Josef Küng

    1. Johannes Kepler University of Linz, Linz, Austria

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    You can also search for this editor in PubMed   Google Scholar

  3. Tai M. Chung

    1. Sungkyunkwan University, Seoul, Korea (Republic of)

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1688)

Included in the following conference series:

Conference proceedings info: FDSE 2022.

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About this book

This book constitutes the refereed proceedings of the 9th International Conference on Future Data and Security Engineering, FDSE 2022, held in Ho Chi Minh City, Vietnam, during November 23–25, 2022. 

The 41 full papers(including 4 invited keynotes) and 12 short papers included in this book were carefully reviewed and selected from 170 submissions. They were organized in topical sections as follows: ​invited keynotes; big data analytics and distributed systems; security and privacy engineering; machine learning and artificial intelligence for security and privacy; smart city and industry 4.0 applications; data analytics and healthcare systems; and security and data engineering.

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Table of contents (57 papers)

  1. Front Matter

    Pages i-xvi
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  2. Invited Keynotes

    1. Front Matter

      Pages 1-1
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    2. Towards a Foundation of Web3

      • Ahto Buldas, Dirk Draheim, Mike Gault, Märt Saarepera
      Pages 3-18Open Access

    3. In-Memory Computing Architectures for Big Data and Machine Learning Applications

      • Václav Snášel, Tran Khanh Dang, Phuong N. H. Pham, Josef Küng, Lingping Kong
      Pages 19-33

    4. Secure and Efficient Implementation of Electronic Money

      • Ahto Buldas, Dirk Draheim, Märt Saarepera
      Pages 34-51Open Access

    5. Managing the Quality of Data and Metadata for Biobanks

      • Johann Eder, Volodymyr A. Shekhovtsov
      Pages 52-69

  3. Big Data Analytics and Distributed Systems

    1. Front Matter

      Pages 71-71
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    2. Towards a Privacy, Secured and Distributed Clinical Data Warehouse Architecture

      • Ranul Deelaka Thantilage, Nhien-An Le-Khac, M-Tahar Kechadi
      Pages 73-87

    3. Improving the Storage Utilization of 0-Complete Trees as Index Structures

      • H. K. Dai, K. Furusawa
      Pages 88-102

    4. Implement the Data Conversion System by Using \(\alpha \)-Lightweight Coreset for Validation Process

      • Nguyen Le Hoang, Tran Khanh Dang, Thai San Dang
      Pages 103-118

    5. Content Selection Methods Using User Interest Prediction Based on Similarities of Web Activities

      • Takeshi Tsuchiya, Rika Misawa, Ryuichi Mochizuki, Hiroo Hirose, Tetsuyasu Yamada, Yoshito Yamamoto et al.
      Pages 119-130

    6. ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models

      • Thanh-Nghi Do, Minh-Thu Tran-Nguyen
      Pages 131-144

    7. Covid-19 Detection Based on Lung Lesion Signs in Big Data Processing Environment

      • Thuong-Cang Phan, Anh-Cang Phan, Thi-Kim-Ngan Tran, Thanh-Ngoan Trieu
      Pages 145-160

    8. Predicting Loan Repayment Using a Hybrid of Genetic Algorithms, Logistic Regression, and Artificial Neural Networks

      • Pham Thanh Binh, Nguyen Dinh Thuan
      Pages 161-175

    9. Performance Evaluation of Regular Decomposition and Benchmark Clustering Methods

      • Laura Haryo, Reza Pulungan
      Pages 176-191

  4. Security and Privacy Engineering

    1. Front Matter

      Pages 193-193
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    2. Authentication of Luxury Products – Identifying Key Requirements from a Seller and Consumer Perspective

      • Robert Zimmermann, Chibuzor Udokwu, Ricarda Kompp, Patrick Brandtner, Alex Norta
      Pages 195-209

    3. Analysis of a New Practical SPN-Based Scheme in the Luby-Rackoff Model

      • Cuong Nguyen, Anh Nguyen, Long Nguyen, Phong Trieu, Lai Tran
      Pages 210-224

    4. Authorization and Access Control for Different Database Models: Requirements and Current State of the Art

      • Aya Mohamed, Dagmar Auer, Daniel Hofer, Josef Küng
      Pages 225-239

    5. A Hierarchical Deterministic Wallet Using Ed25519 Digital Signature Scheme

      • Thang Nguyen-Dinh, Phuong Nguyen-Nguyen, Tu Phan, Khuong Nguyen-An
      Pages 240-257
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Other volumes

  1. Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

Editors and Affiliations

  • Ho Chi Minh City University of Food Industry, Ho Chi Minh City, Vietnam

    Tran Khanh Dang

  • Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  • Sungkyunkwan University, Seoul, Korea (Republic of)

    Tai M. Chung

Bibliographic Information

  • Book Title: Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

  • Book Subtitle: 9th International Conference, FDSE 2022, Ho Chi Minh City, Vietnam, November 23–25, 2022, Proceedings

  • Editors: Tran Khanh Dang, Josef Küng, Tai M. Chung

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-981-19-8069-5

  • 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. 2022

  • Softcover ISBN: 978-981-19-8068-8Published: 20 November 2022

  • eBook ISBN: 978-981-19-8069-5Published: 19 November 2022

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XVI, 765

  • Number of Illustrations: 78 b/w illustrations, 261 illustrations in colour

  • Topics: Computer Applications, Artificial Intelligence, Systems and Data Security, Computers and Education

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