• Journal of Advanced Navigation Technology
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• v.18 no.2
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• pp.191-199
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• 2014

Recently, researches to facilitate utilization by small and medium business (SMB) of cloud computing and big data paradigm, which is the booming adoption of IT area, has been on the increase. As one of these efforts, in this paper, we design and implement the prototype to tentatively build up Hadoop cluster under private cloud infrastructure environments. Prototype implementation are made on each hardware type such as single board, PC, and server and performance is measured. Also, we present the integrated verification results for the data analysis performance of the analysis software system running on top of realized prototypes by employing ASA (American Standard Association) Dataset. For this, we implement the analysis software system using several open sources such as R, Python, D3, and java and perform a test.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.2
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• pp.429-436
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• 2018

Electronic documents are efficient to be created and managed, but they are liable to lose their originality because copies are created during distribution and delivery. For this reason, various security technologies for electronic documents have been applied. However, most security technologies currently used are for document management such as file access privilege control, file version and history management, and therefore can not be used in environments where authenticity is absolutely required, such as confidential documents. In this paper, we propose a method to detect document forgery and tampering through analysis of file system without installing an agent inside the instance operating system in cloud computing environment. BubbleDoc monitors the minimum amount of virtual volume storage in an instance, so it can efficiently detect forgery and tampering of documents. Experimental results show that the proposed technique has 0.16% disk read operation overhead when it is set to 1,000ms cycle for monitoring for document falsification and modulation detection.

• Journal of Korean Society of Archives and Records Management
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• v.16 no.4
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• pp.79-120
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• 2016

Along with the changing computing environment, the production of public documents is moving to G-Cloud and On-nara System, which are re-engineered on G-Cloud. In this process, it is predicted that the Open Document Format (ODF) will replace the proprietary document format, HWP, and will become widely used in the near future. To preserve digital records produced in ODF, this study reviewed the current long-term preservation strategies and identified considerations for new formats. For ODF source files, it is suggested to eliminate the conversion to PDF/A-1 and preserve the documents in the extended ODF with added metadata of records management. Moreover, ODF is presented as an alternative format for preserving proprietary formats. Finally, this study reviewed the current long-term preservation format, i.e., NEO, and suggests a zipped BagIt package, which has an ISO 21320 specification.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.151-155
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• 2017

With the rapid growth of the up-to-date wireless network and Internet technologies, huge and various types of things around us are connected to the Internet and build the hyper-connected society, and lots of smart applications using these technologies are actively developed recently. IoT connects human, things, space, and data with various types of networks to construct the hyper-connected network that can create, collect, share and appling realtime information. Furthermore, most of the smart applications are concentrated on the service that can collect and store realtime contexts using various sensors and cloud technology, and provide intelligence by making inferences and decisions from them nowadays. In this paper, we design a smart application that can accurately control and process the current state of the specific context in realtime by using the state-of-the-art ICT techniques such as various sensors and cloud technologies on the IoT based mobile computing environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.9
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• pp.1977-1982
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• 2012

Social network service user or smart phone user is very convenient, because there are supported to various social network services such as Facebook, Twitter, Flickr, Naver blog, Daum blog, and so on. This Is very good because they store multimedia datas that user wants to cyber space if they want it conveniently. But, if social network user increases, space of cloud storage increases sharply, and when social network service used user dies then they have big problems such as they did not know in existing. Typically, problems of notice, dissemination, storage, and inheritance for digital asset can happen representatively. Now, If successor send relation information of he and his dead user that is family to social network service provider then service provider checks it. And successor may can use, save and only backup are possible after confirm of family relation truth. Therefore, We wish to propose ADAM that successor may can inherit digital assets easily, conveniently, and safely in this paper. If someone use ADAM, successor submits information about dead and own family relation in the third certification party. And ADAM can be inherited freely and conveniently about digital assets as general assets passing through right inheritance process.

• Informatization Policy
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• v.25 no.3
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• pp.75-94
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• 2018

Today, Software as a Service(SaaS) is being recognized as a key means to enable the innovation of software distribution. Despite the increase in the interest in SaaS, individuals as well as businesses are not yet making an extensive use of it. This research is aimed at identifying and analyzing the antecedents of intentions to use SaaS. We proposed a research model to predict an individual's intention to use SaaS based on the Technology Acceptance Model(TAM). To this end, we conducted a questionnaire survey in which actual software users participated. An empirical analysis has been performed to test the reliability and validity and the hypotheses using SPSS and AMOS software packages. The results of the analysis revealed that functionality, interoperability and economic benefits have positive effects on the intention to use SaaS, while system quality has no significant effect on the behavioral intention. We discussed practical as well as academic implications, and provided research directions.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.6
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• pp.491-496
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• 2015

Cloud computing has emerged with promise to decrease the cost of server additional cost and expanding the data storage and ease for computer resource sharing and apply the new technologies. However, Cloud computing also raises many new security concerns due to the new structure of the cloud service models. Therefore, the secure user authentication is required when the user is using cloud computing. This paper, we propose the enhanced AdaBoost algorithm for access cloud security zone. The AdaBoost algorithm despite the disadvantage of not detect a face inclined at least 20, is widely used because of speed and responsibility. In the experimental results confirm that a face inclined at least 20 degrees tilted face was recognized. Using the FEI Face Database that can be used in research to obtain a result of 98% success rate of the algorithm perform. The 2% failed rate is due to eye detection error which is the people wearing glasses in the picture.

• Journal of the Korea Society of Computer and Information
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• v.19 no.6
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• pp.1-10
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• 2014

In this paper, we propose a real-time video playback scheme for the N-Screen service based on Windows Azure. This scheme creates several playback blocks based on the performance of each node by non-uniform splitting of the original video. To reduce transcoding-time, it allocates the playback blocks to a corresponding node by transcoding the playback blocks. Through the simulation, we show that it is more effective to use real-time video playback for the N-screen service than the previous method. The proposed scheme splits an AVI format 300MB source video with non-uniform playback blocks. It allocates the playback blocks to the heterogeneous node of Windows Azure, the commercial cloud system and measures of transcoding-time by transcoding non-uniform playback blocks to mp4 and Flv format. As a result, the proposed scheme improves the performance of the N-screen service based on Windows Azure compared to the previous uniform split strategy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3769-3777
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• 2015

Overseas Expansion is essential to expand domestic geospatial industries in a state of saturation. But current overseas expansion method has be limited to expand global market. Inter-industries convergence strategies may be most resonable alternative to expand global market through raising expansion possibility to developing countries with ODA funds and to developed countries with converging global competitive industries. This research analyzed the industry to develop a suitable way fusion between these industries. As a result, easiness of convergence, confidentiality of information, complementarity of poor infrastructure, responsiveness of various demands and sustainability of system are needed to successful convergence on multiple industries. This convergence framework is consists of geospatial convergence common framework based on cloud computing, inter-industries convergence model and institutional supporting system for overseas expansion.

• Journal of Advanced Navigation Technology
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• v.17 no.6
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• pp.816-822
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• 2013

In modern networks, data rate is getting faster and transferred data is extremely increased. At this point, the malicious codes are evolving to various types very fast, and the frequency of occurring new malicious code is very short. So, it is hard to collect/analyze data using general networks with the techniques like traditional intrusion detection or anormaly detection. In this paper, we collect and analyze the data more effectively with cloud environment than general simple networks. Also we analyze the malicious code which is similar to real network's malware, using botnet server/client includes DNS Spoofing attack.