• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.348-351
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• 2016

Recently on IoT environment, there is necessary of protected network, which is only specific user can access it. Applying OAuth protocol on IoT, it can be easier to construct network authentication system, but it is hard to construct protected network authentication system. And there is weakness of OAuth protocol, which is easily attacked by sniffing Token by attacker. So, it is necessary to secondary authentication for OAuth. In ultimate IoT, the fog computing is essential. Fog computing is extension of cloud that enables networking not only in core system but also in edge system and communication node to node. Strength of fog computing is location awareness, support for mobility, and so on. If authentication in fog computing uses this strength, it can be more specialized in Fog Computing. So, in secondary Authentication, using Cyber-Physical-Social System will increase convenience of user than using existing authentication system, such as authentication certificate, id/password and group key, which is inconvenient for user. This study is about authentication based Cyber-Physical-Social System.

• Journal of the Korea Society of Computer and Information
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• v.24 no.8
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• pp.67-76
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• 2019

Along with the diversification of digital content services using wired/wireless networks, the market for the construction of base systems is growing rapidly. Cloud computing services are recognized for a reasonable cost of service and superior system operations. Cloud computing is convenient as far as system construction and maintenance are concerned; however, owing to the security risks associated with the system construction of actual cloud computing service, the ICT(Information and Communications Technologies) market is lacking regardless of its many advantages. In this paper, we conducted an experiment on a cloud computing security enhancement model to strengthen the security aspect of cloud computing and provide convenient services to the users. The objective of this study is to provide secure services for system operation and management while providing convenient services to the users. For secure and convenient cloud computing, a single sign-on (SSO) technique and a system access control technique are proposed. For user authentication using SSO, a security level is established for each user to facilitate the access to the system, thereby designing the system in such a manner that the rights to access resources of the accessed system are not abused. Furthermore, using a user authentication ticket, various systems can be accessed without a reauthorization process. Applying the security technique to protect the entire process of requesting, issuing, and using a ticket against external security threats, the proposed technique facilitates secure cloud computing service.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.501-505
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• 2007

현재 기술 동향에 따라, 언제 어디서나 통신 및 컴퓨팅이 가능한 유비쿼터스 컴퓨팅 시스템(Ubiquitous Computing System)을 위해 사용자 및 주변 환경의 상황을 인식하는 기술(Context-Aware Computing System)이 필수적인 요소로 부각되고 있다. 하지만, Context-Aware Computing System을 구현하기 위해서 사용자 및 주변 환경으로부터 입력되는 불확실하거나 모호한 상황정보에 대한 표현과 추론에 대한 연구는 부족한 실정이다. 이를 해결하기 위해 Rule-based System을 기반으로 CRS와 DOS의 개념을 도입하여 상황인식 기술을 SoC로 구현할 수 있도록 새로운 Architecture를 제안한다. 마지막으로는 CRS와 DOS가 Network Topolgy에 적용된 RODMRP(Resilient Ontology-based Dynamic Multicast Routing Protocol)의 예를 통해 그 효용성을 입증하고, Ubiquitous Computing System에서 활용 가능한 방법 등을 제시한다.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.6
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• pp.177-186
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• 2020

Recent advances in deep learning technology have improved image recognition performance in the field of computer vision, and serverless computing is emerging as the next generation cloud computing technology for event-based cloud application development and services. Attempts to use deep learning and serverless computing technology to increase the number of real-world image recognition services are increasing. Therefore, this paper describes how to develop an efficient deep learning based image recognition service system using serverless computing technology. The proposed system suggests a method that can serve large neural network model to users at low cost by using AWS Lambda Server based on serverless computing. We also show that we can effectively build a serverless computing system that uses a large neural network model by addressing the shortcomings of AWS Lambda Server, cold start time and capacity limitation. Through experiments, we confirmed that the proposed system, using AWS Lambda Serverless Computing technology, is efficient for servicing large neural network models by solving processing time and capacity limitations as well as cost reduction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.3
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• pp.685-703
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• 2024

Cloud computing provides each consumer with a large-scale computing tool. Different Cyber Attacks can potentially target cloud computing systems, as most cloud computing systems offer services to many people who are not known to be trustworthy. Therefore, to protect that Virtual Machine from threats, a cloud computing system must incorporate some security monitoring framework. There is a tradeoff between the security level of the security system and the performance of the system in this scenario. If strong security is needed, then the service of stronger security using more rules or patterns is provided, since it needs much more computing resources. A new way of security system is introduced in this work in cloud environments to the VM on account of resources allocated to customers are ease. The main spike of Fog computing is part of the cloud server's work in the ongoing study tells the step-by-step cloud server to change the tremendous measurement of information because the endeavor apps are relocated to the cloud to keep the framework cost. The cloud server is devouring and changing a huge measure of information step by step to reduce complications. The Medical Data Health-Care (MDHC) records are stored in Cloud datacenters and Fog layer based on the guard intensity and the key is provoked for ingress the file. The monitoring center sustains the Activity Log, Risk Table, and Health Records. Cloud computing and Fog computing were combined in this paper to review data movement and safe information about MDHC.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.129-159
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• 2012

Cloud-computing is in the limelight with expectation for cost reduction, because it alleviates the burden of initial investment and maintenance cost and based on pay-as-you-use billing policy. However, many suppliers of Cloud-computing service are suggesting diverse and complicated billing policies without consideration for setting reasonable service billing policy and definite criteria of properties to determine service billing system. So companies willing to use Cloud-computing service are hard to understand the billing system and often spend more expensive cost than necessary. Therefore, this study invested billing system properties of four representative suppliers. Based on these properties of billing system, this study found priorities using AHP survey which conducted to experts who are able to make decisions for adopting Cloud-computing in the company using or willing to use Cloud-computing service. We expect that this study can suggest basic guideline for comparing and analyzing properties of Cloud-computing service with standardized and objective method.

• Journal of Platform Technology
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• v.9 no.2
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• pp.10-25
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• 2021

Although many studies have been conducted on risk analysis and evaluation in the on-premises environment in information security, studies on effective methodologies of risk analysis and evaluation for cloud computing systems are lacking. In 2015, the Cloud Computing Development Act was enacted, which served as an opportunity to promote the introduction of cloud computing. However, due to the increase in security incidents in the cloud computing system, activation is insufficient. In addition, the cloud computing system is not being actively introduced because of the difficulty in understanding the cloud computing system technology of the person in charge who intends to introduce the cloud computing system. In this regard, this study presented an effective risk analysis and evaluation method by examining the characteristics, concepts, and models of cloud computing systems and analyzing how these characteristics affect risk analysis and evaluation.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.3
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• pp.133-155
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• 2016

Recently, in the adoption of cloud computing are emerging as locations are key requirements of security and privacy, at home and abroad, several organizations recognize the importance of privacy in cloud computing environments and research-based transcription and systematic approach in progress have. The purpose of this study was to recognize the importance of privacy in the cloud computing environment based on personal information security methodology to the security of cloud computing, cloud computing, users must be verified, empirical research on the improvement plan. Therefore, for existing users of enhanced security in cloud computing security consisted framework of existing cloud computing environments. Personal information protection management system: This is important to strengthen security for existing users of cloud computing security through a variety of personal information security methodology and lead to positive word-of-mouth to create and foster the cloud industry ubiquitous expression, working environments.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.300-307
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• 2016

Cloud computing that provide a elastic computing service is more complex compared to the existing computing systems. Accordingly, it has become increasingly important to maintain the stability and reliability of the computing system. And troubleshooting and real-time monitoring to address these challenges must be performed essentially. For these goals, the handling of the log data is needed, but this task in cloud computing environment may be more difficult compared to the traditional logging system. In addition, there are another challenges in order to have the admissibility of the collected log data in court. In this paper, we design secure logging service that provides the management and reliability of log data in a cloud computing environment and then analyze the proposed system.

• Journal of Korea Multimedia Society
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• v.17 no.3
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• pp.353-363
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• 2014

Cloud computing is an internet-based technology, providing services to the virtualized IT environment, and allowing users to add or remove resources of hardware or software at their discretion. Since Cloud computing can construct virtually integrated environments out of multiple local computing environments, various information services can be provided by it. In addition, state organizations also strive to build the cloud computing environments due to the benefits of reduced costs to introduce the system and of reduced time to build and provide the IT services. This study suggests a web-based cloud computing system for the computing environments, to be applied for the Korean National Health and Nutrition Examination Survey (KNHANES) by the Ministry of Health and Welfare, Republic of Korea.