• 한국인터넷방송통신학회논문지
• /
• 제15권6호
• /
• pp.37-42
• /
• 2015

검색엔진 서비스는 필요한 정보를 찾아 볼 수 있는 장점을 지녔지만 한편으로는 이용자의 원하지 않은 개인정보까지 검색할 수 있는 위험성이 있다. 이러한 위험성에도 불구하고 많은 이용자들은 검색상에 자신의 개인정보가 노출되어 있는지 인식조차 못하고 있으며, 인식을 하고 있더라도 개인정보 삭제 신청을 어떻게 하는지도 모르는 상황이다. 2015년 국정감사에서는 공무원들의 개인정보 오남용 및 공공기관 개인정보 구글 검색 노출이 지적되었다. 이것은 정부차원에서도 개인정보 검색 노출 문제를 중요히 바라보고 있는 상황이며, 앞으로도 검색으로 인한 개인정보 노출이 개선되어야 함을 지적하고 있다. 본 연구는 검색포털 사이트를 중심으로 개인정보 노출의 실태와 문제점을 조사하였다. 이 결과를 토대로 노출된 개인정보 삭제에 관한 검색엔진 서비스 제공자 측면과 이용자 측면의 해결책을 제시한다.

• International Journal of Knowledge Content Development & Technology
• /
• 제2권2호
• /
• pp.17-29
• /
• 2012

All academic information on the web or elsewhere has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most information is composed of a title, an author, and contents. An essay which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of personal names. It also describes a method for providing the results of searching co-authors and related researchers in searching personal names. This method can be effectively applied to providing accurate and additional search results in the academic information services.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제8권4호
• /
• pp.260-263
• /
• 2008

In this paper we propose Personal Information Management System for Library Database. It manages personal search pattern for the given user and provide specific book list for library book search system. With the proposed system, the conventional overlap searching time will be decreased with personalized information and search history. This system manages the individual data according to personal searching pattern, sequence and usability. Therefore, the user can locate necessary book information more accurately with their distinct interest and search history.

• 정보관리연구
• /
• 제36권2호
• /
• pp.25-44
• /
• 2005

정보의 홍수 속에서 개인이 생산하고 활용하고 있는 개인정보도 마찬가지로 스스로 찾기 어려울 만큼 그 정보량이 거대해지고 그 형태가 다양해지고 있다. 따라서 개인정보의 효율적 관리는 필수 불가결한 사항이 되었다. 이에 본 연구에서는 개인 컴퓨터의 디지털 정보자료를 중심으로 한 개인 정보의 효율적 관리방안으로서 Desktop 검색도구의 활용을 제안하였고, Desktop 검색도구의 주요 특성과 성능에 대한 비교 분석을 통해 문제점 및 개선방안을 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권7호
• /
• pp.3699-3719
• /
• 2017

Conjunctive keyword search encryption is an important technique for protecting sensitive personal health records that are outsourced to cloud servers. It has been extensively employed for cloud storage, which is a convenient storage option that saves bandwidth and economizes computing resources. However, the process of searching outsourced data may facilitate the leakage of sensitive personal information. Thus, an efficient data search approach with high security is critical. The multi-user search function is critical for personal health records (PHRs). To solve these problems, this paper proposes a novel multi-user conjunctive keyword search scheme (mNCKS) without a secure channel against keyword guessing attacks for personal health records, which is referred to as a secure channel-free mNCKS (SCF-mNCKS). The security of this scheme is demonstrated using the Decisional Bilinear Diffie-Hellman (DBDH) and Decision Linear (D-Linear) assumptions in the standard model. Comparisons are performed to demonstrate the security advantages of the SCF-mNCKS scheme and show that it has more functions than other schemes in the case of analogous efficiency.

• 한국생활과학회지
• /
• 제8권3호
• /
• pp.499-509
• /
• 1999

The purpose of this study is to make up an effective market strategy for distinguishing clothing shops through analysing the influences on store choice behaviors by demographical characteristics, clothing shopping orientations and information search activities as well as analysing the effects of information search activities according to clothing shopping orientations, together with clarifying the dimension of clothing shopping orientations and information search activities. Clothing shopping orientations were factor analyzed resulting five factors, such as Recreational Shopping, Store/Brand Loyalty, Economic Shopping, Fashion Synchronization, Careful shopping. Information search behavior were factor analyzed resulting five factors, such as mass media information, commercial media information, personal information, store information, past experience information. According to a result of looking into the influences of clothing shopping orientations on information search behaviors, as shopping orientation for pleasure, fashion synchronization orientation, brand store royal orientation & economical orientation go high, the search degree of store information & mass media information, commercial media information & personal information, past experience information and personal information raise up respectively more and more. The results of regression analysis at factors affecting the store choice behaviors are significantly different.

• 한국인터넷방송통신학회논문지
• /
• 제15권4호
• /
• pp.145-151
• /
• 2015

최근 개인정보 보호에 대한 관심이 높아지면서 웹 환경에 노출된 개인정보를 효율적으로 검색할 수 있는 시스템의 필요성이 증대되었다. 현재 웹 환경에 노출된 개인정보는 자신이 알고 있는 단편적인 단서를 이용한 검색을 통해 노출여부를 판단하고 있다. 그러나 이 방법은 검색결과의 우선순위가 개인정보의 노출도와 관계가 없어 효율적이지 못하다. 본 논문에서는 사용자 입력을 근거로 웹 환경에 노출된 사용자의 개인정보를 효율적으로 검색하고 삭제할 수 있도록 지원하는 프로세스를 제안한다. 또한 기존 검색 방법과의 비교를 통하여 검색성능의 향상 정도를 평가한다.

• 식품보건융합연구
• /
• 제10권2호
• /
• pp.27-36
• /
• 2024

This study aims to investigate whether information awareness, search purpose, and search expectations influence information avoidance among university students. The data were collected by using a self-completion questionnaire with convenience sampling of students from one university. The collected data were analyzed by descriptive statistics, t-test, analysis of variance (ANOVA), Pearson's correlation coefficient, and multiple regression using R 4.2.3. The main results are as follows: First, both search purpose and search expectations exhibited a significant inverse correlation with all information avoidance dependent variables. Second, there was a significant difference in the mean of search expectations across majors, such that science majors had higher search expectations than humanities majors. Third, there were significant differences in the means of the information avoidance-system and information avoidance variables by major, such that both variables had lower means for the science than the humanities group. Fourth, among the independent variables, search expectation had a significant effect on information avoidance-personal: the higher the search expectation variable, the lower the information avoidance-personal variable. This study confirmed that information avoidance should not only consider the psychological, emotional, and affective aspects of information seekers, but also that information seekers' information search purpose and search expectations are predictors of information avoidance.

• 한국도서관정보학회지
• /
• 제22권
• /
• pp.139-169
• /
• 1995

The purpose of this study is to analyze the search pattern and search outcome of the National Central Library OPAC users by measuring their success rates and identifying the factors of failure and the personal background which bring about the differences of the search outcome. Various methods have been used for the study. Personal interview was used to find the pattern of the search, observation method was used to investigate the search process and the failure factors, and a questionnaire was used to survey personal background of searchers. The data were collected during the period of 7 days from April 17, 1995 through April 23, 1995. The search of 1, 217 cases, sampling systematically 25% out of the whole users, were collected and analyzed for the study. The findings of the study can be summarized as follows : First, in regard to the pattern, known-item search(72.6%) was preferred to the subject search(27.4%) and in case of known-item search the access point used were in the order of title, author, title and author. Second, the overall success rate of known-item search was 50.3% and the success rates were in order of author and date, title, and author. The failure factors of known-item search were divided into users factor of 67% and the database factor of 33%, respectively. Third, in case of subject search, its overall success rate was 44.1% and the keyword was the major access point, and the average of precision ratio was very low. Fourth, the analysis of the personal background related to the search outcome has shown significant differences by sex, the experience of using OPAC, education level, and the frequency of using other information retrieval systems. Based on the results the following suggestions can be made to improve the search outcome : First, the system should be su n.0, pplemented online help function to assist users to overcome the failure during search. Second, user instruction in group or individual should be implemented for the users to understand the system.

• 한국컴퓨터정보학회논문지
• /
• 제12권3호
• /
• pp.195-201
• /
• 2007

네트워크 기술과 인터넷 인프라의 발전은 빠르고 편리한 정보화 사회를 구축하였다. 그러나 개인정보에 대한 노출 피해와 검색엔진을 이용한 사용자 아이디나 비밀번호, 또는 신용카드 번호 같은 개인정보 해킹 등의 문제점도 발생시켰다. 따라서 각 검색 엔진에서 발생하는 이러한 문제점들을 파악 분석하고, 이러한 문제점을 해결하기 위한 대응책이 요구된다. 본 논문에서는 해외 검색엔진 구글과 국내 검색엔진 네이버, 엠파스를 이용하여 개인정보 해킹을 시도하고 해킹한 결과를 비교 분석한 후, 각 검색엔진에 대한 문제점을 파악하고, 그 피해를 최소화하고 대응 할 수 있는 해결책을 제안한다.