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

7th International Conference, FDSE 2020, Quy Nhon, Vietnam, November 25–27, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Tran Khanh Dang

    1. Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

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  2. Josef Küng

    1. Johannes Kepler University of Linz, Linz, Austria

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  3. Makoto Takizawa

    1. Hosei University, Tokyo, Japan

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  4. Tai M. Chung

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

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1306)

Included in the following conference series:

Conference proceedings info: FDSE 2020.

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Table of contents (37 papers)

  1. Front Matter

    Pages i-xiv
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  2. Big Data Analytics and Distributed Systems

    1. Front Matter

      Pages 1-1
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    2. On the Potential of Numerical Association Rule Mining

      • Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, Mahtab Shahin, Sadok Ben Yahia, Dirk Draheim
      Pages 3-20

    3. Applying Peer-to-Peer Networks for Decentralized Customer-to-Customer Ecommerce Model

      • Tu Kha Huynh, Hai-Duong Le, Sinh Van Nguyen, Ha Manh Tran
      Pages 21-34

    4. An Elastic Data Conversion Framework for Data Integration System

      • Tran Khanh Dang, Manh Huy Ta, Le Hoang Nguyen
      Pages 35-50

    5. A Novel Model Using CDN, P2P, and IPFS for Content Delivery

      • Tien-Thao Nguyen, Ba-Lam Do
      Pages 51-62

    6. Course Recommendation with Deep Learning Approach

      • Tran Thanh Dien, Luu Hoai-Sang, Nguyen Thanh-Hai, Nguyen Thai-Nghe
      Pages 63-77

    7. Py_ape: Text Data Acquiring, Extracting, Cleaning and Schema Matching in Python

      • Bich-Ngan T. Nguyen, Phuong N. H. Phạm, Vu Thanh Nguyen, Phan Quoc Viet, Le Dinh Tuan, Vaclav Snasel
      Pages 78-89

  3. Security and Privacy Engineering

    1. Front Matter

      Pages 91-91
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    2. Improving ModSecurity WAF with Machine Learning Methods

      • Ngoc-Tin Tran, Van-Hoa Nguyen, Thanh Nguyen-Le, Khuong Nguyen-An
      Pages 93-107

    3. An Elastic Anonymization Framework for Open Data

      • Trung Hieu Le, Tran Khanh Dang
      Pages 108-119

    4. A Computer Virus Detection Method Based on Information from PE Structure of Files Combined with Deep Learning Models

      • Vu Thanh Nguyen, Vu Thanh Hien, Le Dinh Tuan, Mai Viet Tiep, Nguyen Hoang Anh, Pham Thi Vuong
      Pages 120-129

    5. Automatic Attendance System Based on Face Recognition Using HOG Features and Cosine Distance

      • Thanh-Hai Nguyen, Cong-Tinh Dao, Nguyen-Minh-Thao Phan, Thi-Ngoc-Cham Nguyen, Tan-Tai Phan, Huynh-Ngoc Pham
      Pages 130-148

  4. Industry 4.0 and Smart City: Data Analytics and Security

    1. Front Matter

      Pages 149-149
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    2. Ontology-Based Shrimp and Fish Diseases Diagnosis

      • An C. Tran, M. Fukuzawa
      Pages 151-165

    3. Deep Learning-Based Methods for Plant Disease

      • Vu Thanh Nguyen, Triet Quang Duong, Tuan Dinh Le, Anh Thi Dieu Nguyen
      Pages 166-177

    4. Uberwasted App for Reporting and Collecting Waste Using Location Based and Deep Learning Technologies

      • Binh Thanh Nguyen, Dat Ho Tan, Hien Vo Thi Dieu, Dat Nguyen Khac, Huy Truong Dinh
      Pages 178-188

    5. A Flexible Internet of Things Architecture for Data Gathering and Monitoring System

      • Khuat Duc Anh, Le Dinh Huynh, Phan Duy Hung
      Pages 189-199

    6. Recognition and Quantity Estimation of Pastry Images Using Pre-training Deep Convolutional Networks

      • An C. Tran, Nghi C. Tran, Nghia Duong-Trung
      Pages 200-214

    7. Forecasting Sensor Data Using Multivariate Time Series Deep Learning

      • Nguyen Thai-Nghe, Nguyen Thanh-Hai
      Pages 215-229
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Other volumes

  1. Future Data and Security Engineering

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

Keywords

About this book

This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, held in Quy Nhon, Vietnam, in November 2020.*

The 29 full papers and 8 short were carefully reviewed and selected from 161 submissions. The selected papers are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0 and smart city: data analytics and security; data analytics and healthcare systems; machine learning-based big data processing; emerging data management systems and applications; and short papers: security and data engineering.

* The conference was held virtually due to the COVID-19 pandemic.

Editors and Affiliations

  • Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

    Tran Khanh Dang

  • Johannes Kepler University of Linz, Linz, Austria

    Josef Küng

  • Hosei University, Tokyo, Japan

    Makoto Takizawa

  • Sungkyunkwan University, Suwon, Korea (Republic of)

    Tai M. Chung

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