Table Of ContentStudies in Computational Intelligence 1075
Roger Lee Editor
Big Data, Cloud
Computing, and
Data Science
Engineering
Studies in Computational Intelligence
Volume 1075
Series Editor
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Computational Intelligence” (SCI) publishes
new developments and advances in the various areas of computational
intelligence—quickly and with a high quality. The intent is to cover the theory,
applications, and design methods of computational intelligence, as embedded in
the fields of engineering, computer science, physics and life sciences, as well as
the methodologies behind them. The series contains monographs, lecture notes and
edited volumes in computational intelligence spanning the areas of neural networks,
connectionist systems, genetic algorithms, evolutionary computation, artificial
intelligence, cellular automata, self-organizing systems, soft computing, fuzzy
systems, and hybrid intelligent systems. Of particular value to both the contributors
and the readership are the short publication timeframe and the world-wide
distribution, which enable both wide and rapid dissemination of research output.
Indexed by SCOPUS, DBLP, WTI Frankfurt eG, zbMATH, SCImago.
All books published in the series are submitted for consideration in Web of Science.
Roger Lee
Editor
Big Data, Cloud Computing,
and Data Science
Engineering
Editor
Roger Lee
Software Engineering and Information
Technology Institute
Central Michigan University
Mount Pleasant, MI, USA
ISSN 1860-949X ISSN 1860-9503 (electronic)
Studies in Computational Intelligence
ISBN 978-3-031-19607-2 ISBN 978-3-031-19608-9 (eBook)
https://doi.org/10.1007/978-3-031-19608-9
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Foreword
The purpose of the 7th IEEE/ACIS International Conference on Big Data, Cloud
Computing, Data Science and Engineering (BCD 2022) held on August 4–6, 2022,
in Da Nang, Vietnam, was to bring together researchers, scientists, engineers, industry
practitioners, and students to discuss, encourage, and exchange new ideas, research
results, and experiences on all aspects of big data, cloud computing, data science,
and engineering and to discuss the practical challenges encountered along the way
and the solutions adopted to solve them. The conference organizers have selected
the best 15 papers from those papers accepted for presentation at the conference in
order to publish them in this volume. The papers were chosen based on review scores
submitted by members of the program committee and underwent further rigorous
rounds of review.
In chapter “Research on Development of Sponsorship Effect Analysis Module
Using Text Mining Technique,” Weonsun Choi, Kyunghyun Lee, Yoonje Sung, and
Gwangyong Gim collected more than 200,000 online sports media data to analyze the
sponsorship effect by minimizing the omission of sponsor brands exposed through
online media and detecting sophisticated data. A commercial dictionary in the sports
field was established, and a sponsorship effect analysis module was developed by
quantifying text data using morpheme analysis and TF-IDF.
In chapter “A Study on the Relationship Between ESG News Keywords and ESG
Ratings,” Jaeyoung So, Myungho Lee, Jihun Park, and Gwangyong Gim, attempts
to reveal the correlation between daily ESG-related news and each E/S/G grade,
focusing on the keywords of the main disclosure metrics according to the ESG
disclosure guidance by KRX.
In chapter “Development of Associated Company Network Visualization Tech-
niques Using Company Product and Service Information—Using Cosine Similarity
Function,” Kyunghyun Lee, Weonsun Choi, Beonghwa Jeon, and Gwangyong Gim
present a network of related companies providing artificial intelligence-related solu-
tions and application services which were closely examined. It is divided into compa-
nies that develop artificial intelligence technology and companies that apply it to
various fields.
v
vi Foreword
In chapter “Hybrid CNN-LSTM Based Time Series Data Prediction Model
Study,” Chungku Han, Hyeonju Park, Youngsoo Kim, and Gwangyong Gim present
a hybrid CNN-LSTM to solve the long-term dependency problem that can reduce
the learning time of long-term time series data.
In chapter “A Study on Predicting Employee Attrition Using Machine Learning,”
Simon Gim and Eun Tack Im use three machine learning methods, random forest,
XGBoost, and artificial neural network to predict employee attrition to prevent
unwanted loss of employees due to resignations.
In chapter “A Study on the Intention to Continue Using a Highway Driving
Assistance (HDA) System Based on Advanced Driver Assistance System (ADAS),”
Myungho Lee, Jaeyoung So, and Jaewook Kim present a study to identify factors
affecting the intention to continue using the ADAS-based HDA system, which will
lead to the development of autonomous vehicles.
In chapter “Security Policy Deploying System for Zero Trust Environment,” Sung-
Hwa Han proposes a security policy deploy system for zero trust-based environment.
The proposed system consists of three components operating in two systems and uses
an object-based security policy deployment method.
In chapter “TTY Session Audit Techniques for Linux Platform,” Sung-Hwa Han
proposes a TTY session audit technique that can check the command input by the
user accessing the Linux environment and the resulting message.
In chapter “A Study on the Role of Higher Education and Human Resources Devel-
opment for Data-Driven AI Society,” Ji Hun Lim, Jeong Eun Seo, Jun Hyuk Choi,
and Hun Yeong Kwon attempt to investigate and analyze the educational status of
higher education in situations that train AI experts. They point out the problem of arti-
ficial intelligence ethics education in higher education and suggested the educational
methods to be taken in the future.
In chapter “The Way Forward for Security Vulnerability Disclosure Policy:
Comparative Analysis of US, EU, and Netherlands,” Yoon Sang Pil analyzes the
cases of the US, EU, and the Netherlands to derive key elements of the VDP and
propose tasks to be considered when operating and improving the VDP in the future.
In chapter “Study on Government Data Governance Framework: Based
on the National Data Strategy in the US, the UK, Australia, and Japan,” JeongEun
Seo and HunYeong Kwon analyze the NDS of the USA, the UK, Australia, and
Japan based on the DGF of the DGI to derive the essential considerations in formu-
lating national data strategies and suggest the components of the Government Data
Governance Framework.
In chapter “A Study on the Attack Index Packet Filtering Algorithm Based on Web
Vulnerability,” Min Su Kim propose an application layer-based web packet filtering
algorithm to improve web service continuity and operational efficiency based on the
attack index for web vulnerabilities.
In chapter “Analysis of IoT Research Topics Using LDA Modeling,” Daesoo Choi
analyzes the research trend of “Internet of Things,” a core technology, and attempts
to gain insight by identifying the fields of engineering and social sciences separately.
In chapter “Log4j Vulnerability Analysis and Detection Pattern Production Tech-
nology Based on Snort Rules,” WonHyung Park and IlHyun Lee analyze the Log4j
Foreword vii
vulnerability in detail and propose the Snort detection policy technology so that the
security control system can quickly and accurately detect it.
In chapter “A Study on Technology Innovation at Incheon International Airport:
Focusing on RAISA,” Seo Young Kim and Min Seo Park present a study which
categorizes the core technologies utilized in airports and explores the advantages,
for instance attaining process efficiency and providing customer convenience from
robot, AI, and service automation (RAISA).
It is our sincere hope that this volume provides stimulation and inspiration and
that it will be used as a foundation for works to come.
August 2022 Dr. Vo Thi Thanh Thao
Korea University of Information
and Communication Technology
The University of Danang
Da Nang, Vietnam
Dr. Jong-Bae Kim
Soongsil University
Seoul, South Korea
Contents
Research on Development of Sponsorship Effect Analysis Module
Using Text Mining Technique ....................................... 1
Weonsun Choi, Kyunghyun Lee, Yoonje Sung, and Gwangyong Gim
A Study on the Relationship Between ESG News Keywords
and ESG Ratings .................................................. 15
Jaeyoung So, Myungho Lee, Jihun Park, and Gwangyong Gim
Development of Associated Company Network Visualization
Techniques Using Company Product and Service
Information—Using Cosine Similarity Function ...................... 29
Kyunghyun Lee, Weonsun Choi, Beonghwa Jeon, and Gwangyong Gim
Hybrid CNN-LSTM Based Time Series Data Prediction Model
Study ............................................................. 43
Chungku Han, Hyeonju Park, Youngsoo Kim, and Gwangyong Gim
A Study on Predicting Employee Attrition Using Machine Learning .... 55
Simon Gim and Eun Tack Im
A Study on the Intention to Continue Using a Highway Driving
Assistance (HDA) System Based on Advanced Driver Assistance
System (ADAS) .................................................... 71
Myungho Lee, Jaeyoung So, and Jaewook Kim
Security Policy Deploying System for Zero Trust Environment ......... 83
Sung-Hwa Han
TTY Session Audit Techniques for Linux Platform ................... 95
Sung-Hwa Han
A Study on the Role of Higher Education and Human Resources
Development for Data Driven AI Society ............................. 107
Ji Hun Lim, Jeong Eun Seo, Jun Hyuk Choi, and Hun Yeong Kwon
ix
x Contents
The Way Forward for Security Vulnerability Disclosure Policy:
Comparative Analysis of US, EU, and Netherlands ................... 119
Yoon Sang Pil
Study on Government Data Governance Framework: Based
on the National Data Strategy in the US, the UK, Australia,
and Japan ........................................................ 133
Jeong Eun Seo and Hun Yeong Kwon
A Study on the Attack Index Packet Filtering Algorithm Based
on Web Vulnerability .............................................. 145
MinSuKim
Analysis of IoT Research Topics Using LDA Modeling ................ 153
Daesoo Choi
Log4j Vulnerability Analysis and Detection Pattern Production
Technology Based on Snort Rules ................................... 165
WonHyung Park and IlHyun Lee
A Study on Technology Innovation at Incheon International
Airport: Focusing on RAISA ....................................... 175
Seo Young Kim and Min Seo Park
Author Index ...................................................... 185
