• 한국전자거래학회지
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• 제13권4호
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• pp.49-69
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• 2008

최근 유비쿼터스 기술에 대한 개발이 유비쿼터스 상거래라고 하는 진보된 전자상거래를 실용화할 수 있는 단계로 접어들고 있다. 따라서 유비쿼터스 기술의 실제 시스템 적용에 대한 타당성 분석이 필요한 시점이며, 이를 위해서는 유비쿼터스 기술과 같은 진행 중인 기술에 대해 가치를 측정하는 방법에 대한 요구가 증대되고 있다. 이에 본 연구의 목적은 재무적 관점에서의 유비쿼터스 기술 개발 타당성을 분석하는 방법론을 제시하는 것이다. 이를 위해 기존의 기술가치 평가를 위해 진행되어 왔던 평가 기법들 중 선물옵션이론의 블랙-숄즈 모형을 채택한 한 평가 모형을 개발하였다. 또한 유비쿼터스 기술 관련 과제 참여 전문가 인터뷰를 통한 실제 사례 분석도 아울러 실시하였다. 그 결과, 콜옵션 가격과 변동성, 유사 기술 과의 변동성 대비 등을 통한 유비쿼터스 기술 개발 타당성 평가에 블랙숄즈 모형의 활용 가능성을 확인하였다.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.89-100
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• 2022

With the advancement in the Internet of things Technology (IoT) cloud computing, billions of physical devices have been interconnected for sharing and collecting data in different applications. Despite many advancements, some latency - specific application in the real world is not feasible due to existing constraints of IoT devices and distance between cloud and IoT devices. In order to address issues of latency sensitive applications, fog computing has been developed that involves the availability of computing and storage resources at the edge of the network near the IoT devices. However, fog computing suffers from many limitations such as heterogeneity, storage capabilities, processing capability, memory limitations etc. Therefore, it requires an adequate task scheduling method for utilizing computing resources optimally at the fog layer. This work presents a comprehensive review of different task scheduling methods in fog computing. It analyses different task scheduling methods developed for a fog computing environment in multiple dimensions and compares them to highlight the advantages and disadvantages of methods. Finally, it presents promising research directions for fellow researchers in the fog computing environment.

• 지능정보연구
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• 제20권1호
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• pp.195-211
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• 2014

클라우드 컴퓨팅 서비스는 IT 자원을 사용자 요구에 따라 서비스 형태로 제공하며, IT 자원을 소유하는 기존의 개념에서 빌려서 사용하는 개념으로 새로운 IT 패러다임 전환을 이끌고 있다. 이러한 클라우드 컴퓨팅은 과거의 네트워크 컴퓨팅, 유틸리티 컴퓨팅, 서버 기반 컴퓨팅, 그리드 컴퓨팅 등에 대한 연구들을 기반으로 진화해온 IT 서비스로서, 추후 여러분야에 접목 가능성이 높음에 따라 다양한 분야에서의 연구가 지속적으로 이루어지고 있다. 본 연구에서는 1994년부터 2012년까지 주요 해외 저널에 게재된 클라우드 컴퓨팅 관련 연구 논문들의 서지정보 및 인용정보를 수집하였으며, 사회 네트워크 분석 척도를 활용하여 연구 논문간의 인용 관계와 동일 논문에 출현하는 키워드간의 관계로부터 연구 주제들 간 네트워크 변화를 분석하였다. 이를 통해서 클라우드 컴퓨팅 관련 분야의 연구 주제들간의 관계를 파악할 수 있었고, 추후 잠재성이 높은 신규 연구 주제들을 도출하였다. 또한 본 연구에서는 클라우드 컴퓨팅에 대한 연구 동향 맵(research trend map)을 작성하여, 클라우드 컴퓨팅과 관련된 연구 주제들의 동태적인 변화를 확인하였다. 이러한 연구 동향 맵을 통해서 클라우드 컴퓨팅 주요 연구들의 추이를 쉽게 파악 할 수 있으며, 진화 형태 또는 유망 분야를 설명할 수 있다. 논문 인용 관계 분석 결과, 클라우드 컴퓨팅 보안과 분산 처리, 클라우드 컴퓨팅에서의 광네트워크에 관한 연구 논문들이 페이지랭크 척도를 기준으로 상위에 나타났다. 연구 논문의 핵심 주제를 나타내는 키워드에 대한 결과는 2009년에는 클라우드 컴퓨팅과 그리드 컴퓨팅이 높은 중심성 수치를 보였으며, 2010~2011년에는 데이터 아웃소싱, 에러검출 방법, 인프라구축 등 주요 클라우드 요소 기술에 관한 키워드가 높은 중심성 수치를 나타내었다. 2012년에는 보안, 가상화, 자원 관리 등이 높은 중심성 수치를 보였으며, 이를 통해서 클라우드 컴퓨팅 기술들에 대한 관심이 점차 증가함을 확인 할 수 있다. 연구 동향 맵 작성 결과, 보안은 유망영역에 위치하고 있으며, 가상화는 유망영역에서 성장 영역으로 이동하였고, 그리드 컴퓨팅과 분산 시스템은 쇠퇴 영역으로 이동하고 있음을 확인 할 수 있다.

• Journal of Information Processing Systems
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• 제16권6호
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• pp.1459-1478
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• 2020

In the last few years, quantum communication technology and services have been developing in various advanced applications to secure the sharing of information from one device to another. It is a classical commercial medium, where several Internet of Things (IoT) devices are connected to information communication technology (ICT) and can communicate the information through quantum systems. Digital communications for future networks face various challenges, including data traffic, low latency, deployment of high-broadband, security, and privacy. Quantum communication, quantum sensors, quantum computing are the solutions to address these issues, as mentioned above. The secure transaction of data is the foremost essential needs for smart advanced applications in the future. In this paper, we proposed a quantum communication model system for future ICT and methodological flow. We show how to use blockchain in quantum computing and quantum cryptography to provide security and privacy in recent information sharing. We also discuss the latest global research trends for quantum communication technology in several countries, including the United States, Canada, the United Kingdom, Korea, and others. Finally, we discuss some open research challenges for quantum communication technology in various areas, including quantum internet and quantum computing.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권12호
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• pp.4545-4566
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• 2021

The evolution of IoT technology is having a significant impact on people's lives. Almost all areas of people's lives are benefiting from increased productivity and simplification made possible by this trending technology. On the downside, however, the application of IoT technology is posing some security challenges, among them, unauthorized access to IoT devices. This paper presents an Attribute-based Access Control Fog architecture that aims to achieve effective distribution, increase availability and decrease latency. In the proposed architecture, the main functional points of the Attribute-based Access Control are distributed to provide policy decision and policy information mechanisms in fog nodes, locating these functions near end nodes. To evaluate the proposed architecture, an access control engine based on the Attribute-based Access Control was built using the Balana library and simulated using EdgeCloudSim to compare it to the traditional cloud-based architecture. The experiments show that the fog-based architecture provides robust results in terms of reducing latency in making access decisions.

• International Journal of Computer Science & Network Security
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• 제23권9호
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• pp.29-36
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• 2023

Blockchain is an emerging technology that is used to address ownership, centrality, and security issues in different fields. The blockchain technology has converted centralized applications into decentralized and distributed ones. In existing sharing economy applications, there are issues related to low efficiency and high complexity of services. However, blockchain technology can be adopted to overcome these issues by effectively opening up secure information channels of the sharing economy industry and other related parties, encouraging industry integration and improving the ability of sharing economy organizations to readily gain required information. This paper discusses blockchain technology to enhance the development of insurance services by proposing a five-layer decentralized model. The Najm for Insurance Services Company in Saudi Arabia was employed in a case study for applying the proposed model to effectively solve the issue of online underwriting, and to securely and efficiently enhance the verification and validation of transactions. The paper concludes with a review of the lessons learned and provides suggestions for blockchain application development process.

• 유통과학연구
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• 제14권11호
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• pp.37-47
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• 2016

Purpose - Many countries nowadays look at cloud computing as an opportunity because it holds great advantages for governments. Public sector in Yemen still uses traditional computing. This study tends to explore the factors that would affect cloud computing adoption in government organizations in Yemen. Research design, data and methodology - We used a combination of DOI theory and TOE framework with some changes to suit the context of government organizations. Eight hypotheses were proposed with a questionnaire developed and sent to people in Yemen. 118 responses were collected to assess the hypotheses. Results - Results indicate that Yemen lacks some prerequisites of cloud technology in terms of technological readiness and regulations. The factors: relative advantage, compatibility, security concern, perception of benefits and government support were accepted. Perception of benefits, in particular, is found to affect the decision of adoption. Security concern also showed a direct and indirect influence on cloud adoption in the government. Respondents consider security a key issues of the technology. The factors: complexity, technology readiness and regulatory support were rejected. Conclusions - Based on all analysis results, this study proposed some steps toward adopting cloud computing in Yemen.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2007년도 추계 종합학술대회 논문집
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• pp.226-230
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• 2007

우리나라의 컴퓨터 보유율과 인터넷사용률은 세계1위를 자랑한다. 2002년 이래로 운영되어 오고 있는 코리아앳홈(이하 Korea@Home)프로젝트는 우리나라가 보유한 풍부한 컴퓨팅 자원들을 모아서 대규모 응용에 활용하고자 하는 것이다. 이미 많은 회원들을 확보하고 있으며, 현재 신약개발과 기후예측 등의 응용을 수행하고 있다. 코리아앳홈 회원들이 자신의 컴퓨터 자원을 제공하는데 있어 사용자들에게 불편을 주지 않기 위해 자원제공자들의 기여 패턴을 분석하여 사용자가 컴퓨터를 사용하지 않는 시간에 따라 에이전트t의 작업을 수행하도록 하는 스케줄링 방법을 제안한다

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권11호
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• pp.4311-4330
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• 2015

Cloud computing has become a new paradigm by enabling on-demand provisioning of applications, platforms or computing resources for clients. Workflow scheduling has always been treated as one of the most challenging problems in clouds. Commercial clouds have been widely used in scientific research, such as biology, astronomy and weather forecasting. Certainly, it is very important for a cloud service provider to pursue the profits for the commercial essence of clouds. This is also significantly important for the case of providing services to workflow tasks. In this paper, we address the issues of workflow scheduling in commercial clouds. This work takes the communication into account, which has always been ignored. And then, a topology-based workflow-scheduling algorithm named Resource Auction Algorithm (REAL) is proposed in the objective of getting more profits. The algorithm gives a good performance on searching for the optimum schedule for a sample workflow. Also, we find that there exists a certain resource amount, which gets the most profits to help us get more enthusiasm for further developing the research. Experimental results demonstrate that the analysis of the strategies for most profits is reasonable, and REAL gives a good performance on efficiently getting an optimized scheme with low computing complexity.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.286-293
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• 2021

Recently, the quick development rate of apps in the Android platform has led to an accelerated increment in creating malware applications by cyber attackers. Numerous Android malware detection tools have utilized conventional signature-based approaches to detect malware apps. However, these conventional strategies can't identify the latest apps on whether applications are malware or not. Many new malware apps are periodically discovered but not all malware Apps can be accurately detected. Hence, there is a need to propose intelligent approaches that are able to detect the newly developed Android malware applications. In this study, Radial Basis Function (RBF) networks are trained using known Android applications and then used to detect the latest and new Android malware applications. Initially, the optimal permission features of Android apps are selected using Information Gain Ratio (IGR). Appropriately, the features selected by IGR are utilized to train the RBF networks in order to detect effectively the new Android malware apps. The empirical results showed that RBF achieved the best detection accuracy (97.20%) among other common machine learning techniques. Furthermore, RBF accomplished the best detection results in most of the other measures.