• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.128-146
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• 2008

Cyworld has created a new social phenomenon that relationship between people and communities could be built by committing to digital writing. It has altered the way of people's writing attitudes from self-confessed to self-describing and self-broadcasting ways in which one regards oneself as the center of the cyber world. The purpose of this paper is to identify the shift in one's writing attitudes and how he/she develops technologies of the self in the Cyworld space. Quantitative and qualitative methods support the result; The analysis of 100 Cyworld users' mini-homepages show how the visual images in Cyworld affects their way of digital writing and the analysis of the change of writing habit due to sharing data how virtual 'family' that has been created by Cyworld. I categorize the characteristics of digital writing into three; 1)Visualization of technologies of the self 2)Networked technologies of the self 3)Sharing secretes. The aim of writing in Cyworld is not to keep the secrete but to share and, eventually, texts are circulated in the networked society where one is participated(Cyworld family). Therefore, the usage of images plays a significant role in Cyworld communities because the opened secretes are usually prepared to be presented on the basis of trustworthy toward other members.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.437-441
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• 2006

Wireless sensor network consists of sensor nodes which are disseminated closely to each other to collect informations for the various requests of a sensor application applied for sensing phenomenons in real world. Each sensor node delivers sensing informations to an end user by conducting cooperative works such as processing and communicating between sensor nodes. In general, the power supply of a sensor node is depends on a battery so that the power consumption of a sensor node decides the entire life time of a sensor network. To resolve the problem, optimal routing algorithm can be used for prolong the entire life time of a sensor network based on the information on the energy level of each sensor node. In this paper, different from the existing Directed Diffusion and SPTN method, we presents a data dissemination protocol based on lower-power consumption that effectively maximizes the whole life time of a sensor network using the informations on the energy level of a sensor node and shortest-path hops. With the proposed method, a data transfer path is established using the informations on the energy levels and hops, and the collected sensing information from neighboring nodes in the event-occurring area is merged with others and delivered to users through the shortest path.

• Korean journal of communication and information
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• v.84
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• pp.152-188
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• 2017

This study stereotyped the media on the basis of ideological inclinations and media types and explored the news coverage through word analysis, network analysis, and frame analysis. There was no difference between conservative media and progressive media in terms of the amount of news. The conservative mainstream media considered the THAAD rumor as an unnecessary misunderstanding and a rumor based conflict of the south-south. The progressive mainstream media mentioned much about Hwang Gyoan, external influences, and lies and highlighted the government's opinion that there was external influence that spread a vicious rumor. Conservative media mentioned on the bringing about social disturbance and in case of progressive media mentioned social disturbance, and progressive media mentioned the responsibility of government and the attitude of conservative media about the diffusion of the rumor. In conclusion the press framed the THAAD rumor on the basis of their ideological inclinations instead of the role of journalist.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.2
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• pp.237-253
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• 2022

This article offers an account of how regional development policy in Korea has evolved under the influence of actor-networks comprising the cultural circuit of soft capitalism. In so doing, the roles played by transnational actor-networks forged between global consulting firms and national business media are emphasized. For this discussion, the waning of spatial Keynesianism in the country is contextualized in the first place, with particular attention to changing planning goals of key regional development policies including consultancies, influential policy gurus (e.g., Michael Porter and Richard Florida), and local business media outlet Maekyong are found to be key movers and shakers in the transition. These empirical findings call for striking a balance between dominant structuralist accounts and emerging actor-oriented approaches, and also help shed a new light on the dualistic conceptualization of managerialist and entrepreneurial governance in a way that the latter may be a new form of the former.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.2
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• pp.407-416
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• 2018

Instagram is a Social Network Service(SNS) that has recently become popular among people of all ages and it makes people to construct social relations and share hobbies, daily routines, and useful information. However, since the uploaded information can be accessed by arbitrary users and it is easily shared with others, frauds, stalking, misrepresentation, impersonation, an infringement of copyright and malware distribution are reported. For this reason, it is necessary to analyze Instagram from a view of digital forensics but the research involved is very insufficient. So in this paper, We performed reverse engineering and dynamic analysis of Instagram from a view of digital forensics in the Android environment. As a result, we checked three database files that contain user behavior analysis data such as chat content, chat targets, posted photos, and cookie information. And we found the path to save 4 files and the xml file to save various data. Also we propose ways to use the above results in digital forensics.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.593-603
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• 2020

The advent of malicious code has increased exponentially due to the spread of malicious code generation tools in accordance with the development of the network, but there is a limit to the response through existing malicious code detection methods. According to this situation, a machine learning-based malicious code detection method is evolving, and in this paper, the feature of data is extracted from the PE header for machine-learning-based malicious code detection, and then it is used to automate the malware through autoencoder. Research on how to extract the indicated features and feature importance. In this paper, 549 features composed of information such as DLL/API that can be identified from PE files that are commonly used in malware analysis are extracted, and autoencoder is used through the extracted features to improve the performance of malware detection in machine learning. It was proved to be successful in providing excellent accuracy and reducing the processing time by 2 times by effectively extracting the features of the data by compressively storing the data. The test results have been shown to be useful for classifying malware groups, and in the future, a classifier such as SVM will be introduced to continue research for more accurate malware detection.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.626-629
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• 2007

The digital content was supplied quickly with advancement of video compressive technique and the network. Simultaneously illegal copy and diffuse via Internet, it was caused to necessitate the intellectual property right protection of the digital content. With this background, Various standardization groups and content provision enterprises developed the solution for a digital content protection. But the problem which lack interoperability is appeared, cause of independent development among other equipment. To find solution about this, MPEG(Moving Picture Experts Group) has progressed standardization against IPMP (Intellectual Property Management and Protection) techniques which are possible interoperability. In spite of it, with reason why insufficient function, DMP(Digital Media Project) standard was presented with the alternative against this. In this paper, we analyze MPEG IPMP standards and DMP ToolPack concepts to compare between them, and through these, designed and implemented digital content protection system which possible interoperability.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.17-37
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• 2012

The evolution of the IT facilitated the social actions of the consumers by supporting social communication of the online users. At the same time it help for the consumer to post malicious comments on the Internet or to spread the unproven news for distorting the public opinion in the SNSs. Although the number of the consumer unethical behaviors and the estimated damage of the innocent companies have been increased, a few studies had investigate on this issue. Based on the Literature on the consumer unethical behaviors and the institution based trust, we had developed the defense strategies against the consumer unethical behaviors. This study would introduce the new perspective that the consumer could always not be innocent. Also, the defense strategy developed in this study could contribute to make the guideline for consumer service manual.

• The Journal of Korean Association of Computer Education
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• v.13 no.6
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• pp.91-98
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• 2010

NAC(Network Access Control) has been developed as a solution for the security of end-point user, to be a target computer of worm attack which does not use security patch of OS and install Anti-Virus, which spreads the viruses in the Intra-net. Currently the NAC products in market have a sufficient technology of pre-connect, but insufficient one of post-connect which detects the threats after the connect through regular authentication. Therefore NAC users have been suffered from Zero-day attacks and malware infection. In this paper, to solve the problems in the post-connect step we generate the normal behavior profiles using the traffic information of each host, host information through agent, information of open port and network configuration modification through network scanner addition to authentication of host and inspection of policy violation used before. Based on these we propose the system to detect the hosts infected malware.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.611-614
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• 2007

Due to illegal copying and distribution via the internet, the digital media that have been introduced create certain intellectual property issues. Because of this, several intellectual property groups have been created to create and maintain Digital Rights Management systems (DRM), in order to crack down on illegal and unauthorized copying. However, these systems are often created by many different companies, which leads to problems of interoperability. Despite attempts to regulate DRM systems, including the MPEG group's Intellectual Property Management and Protection" system, the system is still struggling to maintain some sort of interoperability between differing protocols. In this paper, we designed and implemented a DRM system with Gstreamer, following the DMP.