• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.261-266
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• 2011

Recently, Internet web services including bulletin board of companies, public intuitions, or governments became the main ways of personal information leakage. However, it is hard to succeed to detect personal information and protect it from leakage manually by system administrators, because the number of web boards and attached files is so huge. Therefore, automatic scanning and filtering methods are needed to protect personal information like resident registration numbers from unexpected exposure. To do this, we developed a novel and advanced web security system for automatic personal information scanning and filtering.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.7 no.3
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• pp.41-52
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• 1997

In this paper, we analyze two claws of Zhou-Gollmann's protocol. The protocol divide the message into a key K and a ciphertext C. The ciphertext C is delivered to the recipient, but the key K is submitted to the TTP, after the message originator receive the recipient's receipt for the ciphertext. TTP puts the key in the directory which is accesaible to the public. So, the recipient's obtaining the message dependson whether the originator submits the key or not. We will show that the originator. which is in such an advantageous position, could make the protocol be unfair and present how to improve the protocol. On the other hand, Zhou-Gollmann's protocol doesn't provide the secrecy of the message, since the key K is published. This means that, to send a secret message, additional mechanism is required. In this paper, we will present an improvement of Zhou-Gollmann's protocol to keep the message secret. The key distribution of the proposed protocol is based on the Diffie-Hellman's one.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.43-65
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• 2021

With the advancement of information and communications technology, a means to recruit IT professional has fundamentally changed. Nowadays recruiters search for candidate information from the Web as well as traditional information sources such as résumés or interviews. Particularly, open-source software development (OSSD) platforms have become an opportunity for developers to demonstrate their IT capabilities, making it a way for recruiters to find the right candidates, whom they need. Therefore, this study aims to investigate the impact developers' profiles in an OSSD platform on their finding a job. This study examined four antecedents of developer information that can accelerate their job search: job-seeking status, personal-information posting, learning activities and knowledge contribution activities. For the empirical analysis, we developed a Web crawler and gathered a dataset on 4,005 developers from GitHub, which is a well-known OSSD platform. Proportional hazards regression was used for data analysis because shorter job-seeking period implies more successful result of job change. Our results indicate that developers, who explicitly posted their job-seeking status, had shorter job-seeking periods than those who did not. The other antecedents (i.e., personal-information posting, learning, and knowledge contribution activities) also contributed in reducing the job-seeking period. These findings imply values of OSSD platforms for recruiters to find proper candidates and for developers to successfully find a job.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.3
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• pp.47-72
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• 2022

This study aims to understand the trends of subjects related to real estate policies and public's emotional opinion on the policies. Two keywords related to real estate policies such as "real estate policy" and "real estate measure" were used to collect tweets created from February 25, 2008 to August 31, 2021. A total of 91,740 tweets were collected and we applied sentiment analysis and dynamic topic modeling to the final preprocessed and categorized data of 18,925 tweets. Sentiment analysis and dynamic topic model analysis were conducted for a total of 18,925 posts after preprocessing data and categorizing them into supply, real estate tax, interest rate, and population variance. Keywords of each category are as follows: the supply categories (rental housing, greenbelt, newlyweds, homeless, supply, reconstruction, sale), real estate tax categories (comprehensive real estate tax, acquisition tax, holding tax, multiple homeowners, speculation), interest rate categories (interest rate), and population variance categories (Sejong, new city). The results of the sentiment analysis showed that one person posted on average one or two positive tweets whereas in the case of negative and neutral tweets, one person posted two or three. In addition, we found that part of people have both positive as well as negative and neutral opinions towards real estate policies. As the results of dynamic topic modeling analysis, negative reactions to real estate speculative forces and unearned income were identified as major negative topics and as for positive topics, expectation on increasing supply of housing and benefits for homeless people who purchase houses were identified. Unlike previous studies, which focused on changes and evaluations of specific real estate policies, this study has academic significance in that it collected posts from Twitter, one of the social media platforms, used emotional analysis, dynamic topic modeling analysis, and identified potential topics and trends of real estate policy over time. The results of the study can help create new policies that take public opinion on real estate policies into consideration.

• Journal of the Korea Computer Industry Society
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• v.5 no.3
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• pp.383-392
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• 2004

Electronic BBS (bulletin board system) Ins been widely recognized as an appropriate medium for exchanging ideas and sharing information asynchronously. The communication ability if BBS is the main reason for utilizing it as a tool for collaborative learning. Researchers in the community reported a number if findings regarding the educational utilization if BBS recently. In this paper, we propose a qualitative method to measure communication activities using BBS so that the complex discussion behaviors of participants can be understood analytically. We propose characteristic vectors to describe discussion behaviors of groups and individuals, which can be conveniently used for characterizing and comparing discussion groups as well as individuals. The interactivity model representing interactive activities shows graphically the degree of inter activity if discussion groups as well as individuals. Also, time dependent measurements are investigated to analyze discussion activities with time. Experiments on the proposed measurements conducted on the Web-based discussion project using BBS demonstrate how measurements can be carried out, how characteristic vectors and inter activity model can be constructed and used.

• The Science & Technology
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• v.32 no.7 s.362
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• pp.30-31
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• 1999

오늘날 누구든지 정보의 바다 인터넷의 정보와 쉽게 접근할 수 있는 것은 바로 월드와이드 웹(WWW:웹으로 약칭. 거미집처럼 세계 정보망을 타고 전자문서를 자유자재로 검색할 수 있게 만든 인터넷의 게시판 서비스)이라는 매커니즘의 덕이라고 할 수 있다. 현대의 웹이 마치 그 옛날의 인쇄기처럼 중요한 가치를 지녔다고 해서 웹 발명자 버너즈-리를 '현대의 구텐베르크'라고 부르는 사람들이 많다. 그는 엘리트들만이 사용할 수 있던 강력한 통신시스템을 일반대중이 접근할 수 있는 매스미디어(대중매체)로 바꿔 버렸다. 만약에 이 발명이 전통적인 과학의 범주에 속한다면 그의 업적은 충분히 노벨상감이라고 평가하는 사람들도 있다.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2002.11a
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• pp.533-537
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• 2002

기존의 인터넷 경매시스템에서는 경매 대상 상품을 게시하고 경매참가자들이 입찰가격을 제시한 후 가장 높은 입찰가를 제시하는 경우에 거래가 낙찰되는 형식이 사용되고 있다. 이러한 방식은 사용자의 편의성을 고려하지 않을 뿐만 아니라 경매 참여자에게 지속적인 입찰제시와 확인 등을 요구하기 때문에 고객 편의를 위한 자동 일괄 처리를 만족시키지 못하고 있다. 본 논문에서는 경매 상품에 대한 입찰 히스토리와 경매시간, 경매방법, 낙찰가격 등을 계산하여 해당 상품에 대해 판매자가 어느 시기에 얼마의 초기 가격으로 경매를 시작하면 최대한의 마진을 남길 수 있는지에 대해 메일로 푸쉬해 주는 멀티에이전트 시스템을 제안한다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.533-537
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• 2002

기존의 인터넷 경매시스템에서는 경매 대상 상품을 게시하고 경매참가자들이 입찰가격을 제시한 후 가장 높은 입찰가를 제시하는 경우에 거래가 낙찰되는 형식이 사용되고 있다. 이러한 방식은 사용자의 편의성을 고려하지 않을 뿐만 아니라 경매 참여자에게 지속적인 입찰제시와 확인 등을 요구하기 때문에 고객 편의를 위한 자동 일괄 처리를 만족시키지 못하고 있다. 본 논문에서는 경매 상품에 대한 입찰 히스토리와 경매시간, 경매방법, 낙찰가격 등을 계산하여 해당 상품에 대해 판매자가 어느 시기에 얼마의 초기 가격으로 경매를 시작하면 최대한의 마진을 남길 수 있는지에 대해 메일로 푸쉬해 주는 멀티에이전트 시스템을 제안한다.

• Annual Conference on Human and Language Technology
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• 2014.10a
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• pp.201-205
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• 2014

국립국어원의 온라인 가나다 서비스는 한국어에 대한 다양한 질문과 정확한 답변을 제공한다. 만일 새롭게 등록되는 질문에 대해 유사한 질문을 자동으로 찾을 수 있다면, 질문자는 빠른 시간에 답변을 얻을 수 있고 서비스 관리자는 수동 답변 작성의 부담을 덜 수 있다. 본 논문에서는 국립국어원 질의응답게시판의 특성을 분석하여 질문의 주제를 6가지로 분류하고, 주제 분류 정보와 벡터 유사도, 수열 유사도를 결합하여 유사한 질문을 검색하는 시스템을 제안한다. 평가에서는 본 논문에서 제시한 주제 분류 정보를 활용한 결과 1위 정답 검색 정확률이 향상되는 결과를 얻었다. 최종 실험에서는 MRR이 0.62, 정답이 1위, 5위내에 검색될 확률은 각각 54.2%, 78.2%를 보였다.

• The Journal of Society for e-Business Studies
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• v.12 no.3
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• pp.107-131
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• 2007

Due to an increase of the importance of E-catalogue on electronic commerce, E-catalogue systems have been prevailing for their production and efficient management around Web environment. In this study, we categorize service factors off-catalogue systems into three aspects contents-providing, user participation, and system management, and we measure their impacts on user satisfaction. The results of the study show that richness, design, trust, interaction, function of transaction management, system extensibility, system stability, and security have been found out to be significant factors to affect user satisfaction.