• 한국멀티미디어학회논문지
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• 제23권5호
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• pp.650-657
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• 2020

The rapid growth of internet users and faster network speed are driving the new ICT services. ICT Technology has improved our way of thinking and style of life, but it has created security problems such as malware, ransomware, and so on. Therefore, we should research against the increase of malware and the emergence of malicious code. For this, it is necessary to accurately and quickly detect and classify malware family. In this paper, we analyzed and classified visualization technology, which is a preprocessing technology used for deep learning-based malware classification. The first method is to convert each byte into one pixel of the image to produce a grayscale image. The second method is to convert 2bytes of the binary to create a pair of coordinates. The third method is the method using LSH. We proposed improving the technique of using the entire existing malicious code file for visualization, extracting only the areas where important information is expected to exist and then visualizing it. As a result of experimenting in the method we proposed, it shows that selecting and visualizing important information and then classifying it, rather than containing all the information in malicious code, can produce better learning results.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.344-348
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• 2021

The article examines one of the most important means of visualization of mass information on the Internet - information graphics in the broadest sense of the term as a visual technology for presenting mass information. The main objectives of the article are to determine the genre-typological features of infographics and basic technological principles; identification of features of creation and use of information graphics in modern network. Certain benefits of online infographic editors include savings in resources and time. They allow the user, who has basic PC skills, to create standardized infographics based on their own data. In addition, the use of online services develops visual thinking, allows you to get an idea of quality criteria and current trends in infographics, as well as to gain initial experience in the visual presentation of data.

• International Journal of Computer Science & Network Security
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• 제23권2호
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• pp.193-198
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• 2023

The article focuses on the areas of education activities in using techniques for teaching and learning with information and communication technologies (ICTs), researching and analyzing the available ICTs, gearing the technologies to the specific psychological and pedagogical conditions, independently building and modeling ICTs, enlarging and developing their use in the learning environment. The visualization of scientific research has been determined to be part of the educational support for building students' ICT competence during teaching and learning and is essential to the methodology culture. There have been specified main tasks for pedagogy technologies (PTs) to develop the skills of adaptability to the global digital space in students, their effective database operation and using the data bases as necessary elements for learning and as part of professional training for research. We provided rationalization for implementing the latest ICTs into the Ukrainian universities' curricula, as well as creating modern methods for using the technologies in the learning / teaching process and scientific activities.

• 정보보호학회논문지
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• 제30권6호
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• pp.1087-1101
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• 2020

빠르게 진화하는 다양한 사이버공격으로부터 내부 네트워크와 정보를 보호하기 위해 다양한 보안장비를 사용한다. 그 중 대표적으로 사용하는 보안장비는 방화벽이며, 방화벽은 접근정책이라는 텍스트 기반의 필터링 규칙을 사용해 내·외로부터 통신하는 접근을 허용하거나 차단하여 악의적인 공격을 사전에 방어할 수 있다. 내부의 정보를 보호하기 위해 수많은 접근정책들이 사용하며, 점차 증가하는 접근정책을 효율적으로 관리하기에 여러 가지 어려움이 발생한다. 그 이유는 텍스트 기반의 많은 정보를 분석하기 위해서는 많은 시간 소요와 잔존하는 취약한 정책을 보완하기에는 한계점이 있다. 이와 같은 문제점을 해결하기 위해, 본 논문에서는 직관적인 접근제어 정책 분석 및 관리를 위한 3D 기반의 계층적 가시화 방법을 제안한다. 특히, 계층적 가시화를 통한 드릴-다운 사용자 인터페이스를 제공함으로써, 복잡한 대규모 네트워크의 접근제어 정책을 세부적으로 분석을 지원한다. 제안된 가시화 방법론의 실용성 및 유효성 검증을 위해 시스템을 구현하고, 이를 실제 대규모 네트워크 방화벽 분석에 적용함으로써 성공적으로 제안된 가시화 방법의 적용이 가능함을 보인다.

• ETRI Journal
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• 제42권3호
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• pp.366-375
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• 2020

The network traffic prediction of a smart substation is key in strengthening its system security protection. To improve the performance of its traffic prediction, in this paper, we propose an improved gravitational search algorithm (IGSA), then introduce the IGSA into a wavelet neural network (WNN), iteratively optimize the initial connection weighting, scalability factor, and shift factor, and establish a smart substation network traffic prediction model based on the IGSA-WNN. A comparative analysis of the experimental results shows that the performance of the IGSA-WNN-based prediction model further improves the convergence velocity and prediction accuracy, and that the proposed model solves the deficiency issues of the original WNN, such as slow convergence velocity and ease of falling into a locally optimal solution; thus, it is a better smart substation network traffic prediction model.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.44-53
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• 2021

The paper proposes to consider information technologies and their application in the educational process as a preparation of presentation material for students of higher educational institutions. The definition and place of information technologies in the educational space are considered. The object of research of this work is the pedagogical technology of presentation of educational information, which substantiates the pedagogical technology of visualization of educational information in higher education, as well as determine its composition and structure. The practical side of pedagogical technology of educational information presentation is considered.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권10호
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• pp.4968-4986
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• 2017

In this paper, we primarily address the difficulty of automatic generation of a plausible depth map from a single image in an unstructured environment. The aim is to extrapolate a depth map with a more correct, rich, and distinct depth order, which is both quantitatively accurate as well as visually pleasing. Our technique, which is fundamentally based on a preexisting DepthTransfer algorithm, transfers depth information at the level of superpixels. This occurs within a framework that replaces a pixel basis with one of instance-based learning. A vital superpixels feature enhancing matching precision is posterior incorporation of predictive semantic labels into the depth extraction procedure. Finally, a modified Cross Bilateral Filter is leveraged to augment the final depth field. For training and evaluation, experiments were conducted using the Make3D Range Image Dataset and vividly demonstrate that this depth estimation method outperforms state-of-the-art methods for the correlation coefficient metric, mean log10 error and root mean squared error, and achieves comparable performance for the average relative error metric in both efficacy and computational efficiency. This approach can be utilized to automatically convert 2D images into stereo for 3D visualization, producing anaglyph images that are visually superior in realism and simultaneously more immersive.

• International Journal of Computer Science & Network Security
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• 제24권5호
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• pp.21-32
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• 2024

This study analyzes the global literature on the black open-access phenomenon from 2011 to 2023. A bibliometric analysis was conducted using the Scopus database. The search strategy employed advanced queries with multiple synonymous terms to ensure exhaustive retrieval of relevant documents. The VOSviewer software was employed to visualize the co-occurrence networks. The findings reported 90 papers published during the study period. An evolving scholarly landscape was revealed, with heightened attention from 2016 onwards, peaking in 2017, 2021, and 2023. Articles constitute 83.3% of the total published documents. Singh and Srichandan are prolific authors, with 11.2% of the total publications. The United States contributes 18.9% of the papers, followed by India and Spain. Information Development and Scientometrics are pivotal journals in scholarly discussions about this scope, contributing 4.4% of publications. Co-occurrence network visualization revealed "Sci-Hub" and "open access" as the most used keywords in the global literature. The findings underscore the need for additional research to discover innovative business models to safeguard intellectual property rights while meeting researchers' evolving needs. The importance of this paper comes from being the first bibliometric study analyzing international literature related to this phenomenon, which provides a basis for future research efforts and policymaking.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권8호
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• pp.3966-3991
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• 2018

Due to the lack of visualization services and organic combinations between public and private buildings data, the usability of the basic map has remained low. To address this issue, this paper reports on a solution that organically combines public and private data while providing visualization services to general users. For this purpose, factors that can affect building prices first were examined in order to define the related data attributes. To extract the relevant data attributes, this paper presents a method of acquiring public information data and real estate-related information, as provided by private real estate portal sites. The paper also proposes a pretreatment process required for intelligent machine learning. This report goes on to suggest an intelligent machine learning algorithm that predicts buildings' value pricing and future value by using big data regarding buildings' spatial information, as acquired from a database containing building value attributes. The algorithm's availability was tested by establishing a prototype targeting pilot areas, including Suwon, Anyang, and Gunpo in South Korea. Finally, a prototype visualization solution was developed in order to allow general users to effectively use buildings' value ranking and value pricing, as predicted by intelligent machine learning.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.340-346
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• 2022

Construction industry is considered as one of the oldest industries in the world since human came into being and the need of their own space is realized. All this led to make the world a space of many beautiful constructive ventures. As per the requirements of today's world, every industry is recognizing the need for use and adoption of modern as well as innovative technologies due to their benefits and timely production. Now construction industry has also started adopting the use of modern and innovative technologies during their projects but still the rate of adoption is so slow. From design to completion, construction projects take a lot to manage for which technology based solutions have continuously been proposed. These include Computer Aided Design (CAD), building information modeling (BIM) and cloud computing have been proved to be much successful until now. The construction projects are high budgeted, and direly require timely and successful completion with quality, resource and other constraints. So, the researchers observe the need of more clear and technology based communication between the construction projects and its constructors and other stakeholders is required before and during the construction to take timely precautions for expected issues. This study has analyzed the use of Augmented Reality (AR) technology adopting GammaAR, and ARki applications in construction industry. It has been found that both applications are light-weighted, upgradable, provide offline availability and collaborative environment as well as fulfil most of the requirements of the construction industry except the cost. These applications also support different screen size for better visualization and deep understanding. Both applications are analyzed, based on construction's application requirements, usability of AR and ratings of applications user collected from application's platform. The purpose of this research is to provide a detail insight of construction applications which are using AR to facilitate both the future developers and consumers.