• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.336-339
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• 2017

스마트폰 서드 파티 애플리케이션에 대한 포렌식 분석은 최근 수 년 간 탐구되어야 할 새로운 영역으로 떠올랐다. 현재 스마트폰 시장은 그 규모를 측정하는 것이 무의미할 만큼 커졌으며 각 스마트폰 플랫폼의 앱(App)마켓에는 셀 수 없이 많은 서드 파티 애플리케이션이 존재한다. 모바일 포렌식 소프트웨어 도구들은 일반적으로 연락처, 문자메시지, 통화기록 등의 전형적인 데이터를 수집한다. 이러한 도구들은 서드 파티 애플리케이션이 기기 내부에 저장하는 정보들을 간과하기 쉽다. 여러 제조사 중, 애플사의 모바일 기기에 설치된 많은 서드 파티 애플리케이션은 수사에 도움이 되는 많은 정보와 관련있는 디지털 증거를 남긴다. 이런 잠재적 증거들은 기기 내부에 저장되기도 하며, 비교적 손쉬운 방법으로 법정에 제출 가능하다. 스마트폰으로 이루어지는 많은 활동은 상당 부분 서드 파티 애플리케이션으로 이루어지며, 사이버 범죄 사건의 중심에 스마트폰이 있다면 서드 파티 애플리케이션 분석을 통한 핵심 증거 획득이 사건을 해결할 가능성이 높아진다. 본 논문에서는 스마트폰에서 널리 쓰이고 있는 소셜네트워크 애플리케이션인 '인스타그램(Instagram)'에서 행해진 포렌식 분석에 초점을 맞추고, 기기는 전 세계 적으로 가장 사용자 점유율이 높은 스마트폰인 아이폰에서 이루어졌다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.369-372
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• 2018

박물관 3.0시대의 도래와 함께 박물관 경영 측면에서 빅데이터 분석, 그리고 공유와 개방의 관점 및 커뮤니케이션 플랫폼과 마케팅 도구로써 소셜 미디어의 영향력이 증대되고 있다. 모바일 애플리케이션이나 비콘에 의존했던기존의 박물관 빅데이터 분석과는 달리, 본 연구에서는 전시에 대한 인스타그램의 해시태그를 분석함으로써, 관람객 분석도구로써 인스타그램 해시태그의 효용성과 가치를 입증하는데 목적을 두고 있다. 이를 위해 최근 2년 동안 국내에서 개최된 다섯 개의 전시의 인스타그램 해시태그를 수집 및 시각화했다. 그 결과, 모든 전시의 인스타그램의 해시태그는 전시명, 전시장소, 전시회, 지역명, 작가명에 집중되었다. 결론적으로 인스타그램의 해시태그는 전시관람 경험에 대한 분석을 위한 빅데이터로 사용하는 것이 부적합했다. 또한 관람객 개발을 위한 도구로써 인스타그램 해시태그의 효용성과 가치는 입증되지 못한 반면, 노출형에 해당하는 해시태그의 정보 확산에 대한 잠재력은 확인되었다.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.217-234
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• 2018

In this study, big data analysis was conducted for domestic and international sports goods brands. Text Mining, TF-IDF, Opinion Mining, interestity graph were conducted through the social matrix program Textom and the fashion data analysis platform MISP. In order to examine the recent recognition of sports brands, the period of study is limited to 1 year from January 1, 2017 to December 31, 2017. As a result of analysis, first, we could confirm the products representing each brand. Second, I could confirm the marketing that represents each brand. Third, the common words extracted from each brand were identified. Fourth, the emotions of positive and negative of each brand were confirmed.

• Smart Media Journal
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• v.1 no.4
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• pp.72-78
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• 2012

SNS supports the formation of relationships between users in common interests and provides services allowing for clique management, sharing contents, and so on. It also has common functions such as acting as primary platforms smoothing the sharing and distribution by combination with various contents. Hence, questionnaire has been conducted to users of all of Twitter, Facebook and KakaoStory, and the factors affected by each service are presented by statistical analyses of the survey and the results are resolved by dividing them into complete and instrumental social capital. This study will be able to provide a standard for users to select SNS according to their purposes and contribute to development of new SNS or improvement of existing ones.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.129-135
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• 2020

This study focuses on the phenomenon that K-POP has become spotlight as killer contents which can be spread over the world beyond Asia. In order to identify critical factors of successful impact of K-POP on other cultures, the influence of the change in media on the globalization of popular culture was explored and the related requirements were analyzed. Furthermore, the potential markers for K-POP, a core field of the Korean Wave, were also analyzed and specific factors such as effective infrastructure of among producer of contents, platform subscriber, network provider, terminal enterprise and retailers for building new businesses model were investigated in detail.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.527-530
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• 2011

This Paper studied out prototype and the structure of comic expression on Social Network Game and started with issues based on SNS(Social Network Service) in Culture Communication. Interaction with the platform have the information that aims to develop relationships with SNG. In a world where the paradigm is changing the game People of all ages, transcending national borders in the mediator role of interaction could have been important. Today SNG is a major topic in Game Contents and this issue has influenced the game design and Story Telling. Under this Situation, this study has a significant meaning because it proves that the factors Comic Expression in game is analyzed by SNG.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.147-161
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• 2015

The rapid changes in consumption patterns and the manufacturing industry environment are both a threat and an opportunity for small and medium-sized enterprises in Korea because it lacks innovative capacity compared to large conglomerates. In this new manufacturing environment, social manufacturing is an innovative business model that can create new business opportunities for these companies. However, there are not that many proven models of platforms where products are created jointly with consumers. Some conceptual analysis of the success factors and operation strategy of co-creation platforms have started to be released but there are almost no empirical studies conducted on this matter today. In this study, the social manufacturing platform business concept and its components were studied; various factors that affect the willingness to participate in consumer-led co-creation platforms were considered; the factors were surveyed on potential consumers; a study was carried out to analyze the relationship of these factors; a model of these factors were set up and proven.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.613-616
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• 2015

최근 스마트폰 기기의 보급 및 소셜 서비스 산업의 고도화로 인해, 빅데이터가 등장하였다. 한편 빅데이터에서 효율적으로 정보를 분석하는 대표적인 플랫폼으로 하둡이 존재한다. 하둡은 클러스터 환경에 기반한 우수한 확장성, 장애 복구 기능 및 사용자가 기능을 정의할 수 있는 맵리듀스 프레임워크 등을 지원한다. 아울러 하둡은 개인정보나 위치 데이터 등의 민감한 정보를 보호하기 위해 Kerberos를 통한 사용자 인증 기법을 제공하고, HDFS 압축 코덱을 활용한 AES 코덱 기반 데이터 암호화를 지원하고 있다. 그러나 하둡 기반 소프트웨어를 사용하고 있는 국내 기관 및 기업은 국내 ARIA 데이터 암호화를 적용하지 못하고 있다. 이를 해결하기 위해 본 논문에서는 하둡을 기반으로 ARIA 암호화를 지원하는 HDFS 데이터 암호화 기법을 제안한다.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.67-101
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• 2014

The use of new technology greatly shapes the marketing strategies used by companies to engage their consumers. Among these new technologies, social media is used to reach out to the organization's audience online. One of the most popular social media channels to date is the microblogging platform Twitter. With 500 million tweets sent on average daily, the microblogging platform is definitely a rich source of data for researchers, and a lucrative marketing medium for companies. Nonetheless, one of the challenges for companies in developing an effective Twitter campaign is the limited theoretical and empirical evidence on the proper organizational usage of Twitter despite its potential advantages for a firm's external communications. The current study aims to provide empirical evidence on how firms can utilize Twitter effectively in their marketing communications using the association between brand personality and brand engagement that several branding researchers propose. The study extends Aaker's previous empirical work on brand personality by applying the Brand Personality Scale to explore whether Twitter brand communities convey distinctive brand personalities online and its influence on the communities' level or intensity of consumer engagement and sentiment quality. Moreover, the moderating effect of the product involvement construct in consumer engagement is also measured. By collecting data for a period of eight weeks using the publicly available Twitter application programming interface (API) from 23 accounts of Twitter-verified business-to-consumer (B2C) brands, we analyze the validity of the paper's hypothesis by using computerized content analysis and opinion mining. The study is the first to compare Twitter marketing across organizations using the brand personality concept. It demonstrates a potential basis for Twitter strategies and discusses the benefits of these strategies, thus providing a framework of analysis for Twitter practice and strategic direction for companies developing their use of Twitter to communicate with their followers on this social media platform. This study has four specific research objectives. The first objective is to examine the applicability of brand personality dimensions used in marketing research to online brand communities on Twitter. The second is to establish a connection between the congruence of offline and online brand personalities in building a successful social media brand community. Third, we test the moderating effect of product involvement in the effect of brand personality on brand community engagement. Lastly, we investigate the sentiment quality of consumer messages to the firms that succeed in communicating their brands' personalities on Twitter.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.53-77
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• 2015

Korea has witnessed an increasing number of domestic patent applications, but a majority of them are not utilized to their maximum potential but end up becoming obsolete. According to the 2012 National Congress' Inspection of Administration, about 73% of patents possessed by universities and public-funded research institutions failed to lead to creating social values, but remain latent. One of the main problem of this issue is that patent creators such as individual researcher, university, or research institution lack abilities to commercialize their patents into viable businesses with those enterprises that are in need of them. Also, for enterprises side, it is hard to find the appropriate patents by searching keywords on all such occasions. This system proposes a patent recommendation system that can identify and recommend intellectual rights appropriate to users' interested fields among a rapidly accumulating number of patent assets in a more easy and efficient manner. The proposed system extracts core contents and technology sectors from the existing pool of patents, and combines it with secondary social knowledge, which derives from tags information created by users, in order to find the best patents recommended for users. That is to say, in an early stage where there is no accumulated tag information, the recommendation is done by utilizing content characteristics, which are identified through an analysis of key words contained in such parameters as 'Title of Invention' and 'Claim' among the various patent attributes. In order to do this, the suggested system extracts only nouns from patents and assigns a weight to each noun according to the importance of it in all patents by performing TF-IDF analysis. After that, it finds patents which have similar weights with preferred patents by a user. In this paper, this similarity is called a "Domain Similarity". Next, the suggested system extract technology sector's characteristics from patent document by analyzing the international technology classification code (International Patent Classification, IPC). Every patents have more than one IPC, and each user can attach more than one tag to the patents they like. Thus, each user has a set of IPC codes included in tagged patents. The suggested system manages this IPC set to analyze technology preference of each user and find the well-fitted patents for them. In order to do this, the suggeted system calcuates a 'Technology_Similarity' between a set of IPC codes and IPC codes contained in all other patents. After that, when the tag information of multiple users are accumulated, the system expands the recommendations in consideration of other users' social tag information relating to the patent that is tagged by a concerned user. The similarity between tag information of perferred 'patents by user and other patents are called a 'Social Simialrity' in this paper. Lastly, a 'Total Similarity' are calculated by adding these three differenent similarites and patents having the highest 'Total Similarity' are recommended to each user. The suggested system are applied to a total of 1,638 korean patents obtained from the Korea Industrial Property Rights Information Service (KIPRIS) run by the Korea Intellectual Property Office. However, since this original dataset does not include tag information, we create virtual tag information and utilized this to construct the semi-virtual dataset. The proposed recommendation algorithm was implemented with JAVA, a computer programming language, and a prototype graphic user interface was also designed for this study. As the proposed system did not have dependent variables and uses virtual data, it is impossible to verify the recommendation system with a statistical method. Therefore, the study uses a scenario test method to verify the operational feasibility and recommendation effectiveness of the system. The results of this study are expected to improve the possibility of matching promising patents with the best suitable businesses. It is assumed that users' experiential knowledge can be accumulated, managed, and utilized in the As-Is patent system, which currently only manages standardized patent information.