• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.355-357
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• 2016

국내 정보보호 산업 성장률(7.1%)은 이전 3년 성장률(15%)에 비해 하락하였다. 정부는 K-ICT 시큐리티 2020을 발표했다. 정보보호산업의 경쟁력 강화와 창업활성화, 일자리 창출을 추진한다는 정책에 맞춰, ICT 산업과 연계된 사이버보안 클러스터 조성이 필요하다. 본 논문에서는 사이버보안 클러스터 구축을 위한 연구를 한다. 해외의 성공적인 사이버 클러스트를 조사하고 분석한다. 또한 국내에 있는 기존의 클러스트를 분석하고 문제점을 파악한다. 결론적으로 사이버 클러스트를 구축하고 운영하기 위한 방안에 대한 연구와 사이버 클러스트의 기대효과를 연구한다.

• 통상정보연구
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• 제9권4호
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• pp.217-239
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• 2007

We want to know the key factors which are important to make any cluster grow up. First, we make four cluster types which are national policy type, local recruit type, local network type, and existing industry transforming type. Second, We selected Austin case and Kyushu case as two local recruit type clusters. Third, this paper looks into the dynamics of two clusters. Forth, we arrive at the conclusion including the policy implication for Daegu technopolis.

• 한국의류학회지
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• 제27권3_4호
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• pp.441-451
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• 2003

The purpose of this study was to find out evaluative criteria of cyber store toward shopping orientation, purchasing experience and demographic factors of consumers to visit cyber store. This study surveyed consumers who have an experience of using cyber store and judgment sampling was used. The respondents were 240 men and women living in the metropolitan area of Seoul and Gyeonggi province. Research method was measured by clothing shopping orientation (utilitarian and hedonic factors), cyber store evaluation criteria (convenience, quality & trust and product character factors), purchasing experience(existent and nonexistent) and demographic factors. For data analysis, descriptive statistics, factor analysis, cluster analysis, ANOVA, t-test, Duncan test, and reliability analysis were conducted. The results were as follows: 1. Evaluative criteria of cyber store were considered importantly in order of possibility of exchange and refund, stability of personal information security, substance of quality degree of product and service and store. 2. Among shopping orientation groups, there were significant differences in all evaluative criteria of cyber store: convenience, quality & trust and product character of store. 3. Among groups toward existence and nonexistence in a purchasing experience, there were significant differences in convenience and quality & trust of store. 4. Among Demographic factors(gender, job, education and income) there were significant differences in convenience and quality & trust of store.

• 대한가정학회지
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• 제42권11호
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• pp.223-235
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• 2004

This study investigated the integrated effects of family and school factors on the cyber behavior of adolescents. Specifically, the purposes of this study were to categorize adolescents into groups by family and school factors and to find investigate differences among the groups regarding cyber behavior (internet use, internet purpose, and internet experience). no study distributed the questionnaires to middle and high school adolescent students of five representative cities in South Korea. The total respondents were 2240 (960 from Seoul/kyongki, and 320 each from Taegu, Pusan, Kwangiu, and Taejon). The response rate w3s 98.7%. no data were analyzed by factor analysis, cluster analysis, ANOVA, and Duncan test. The results showed that Korean adolescents were segmented into four groups (family preference/school preference group, family dissatisfaction/teacher dissatisfaction group, family average/school average group, family average/peer dissatisfaction group). The four groups were significantly different in regard to cyber behavior. For example, the family dissatisfaction/teacher dissatisfaction group u%d internet to relieve stress and used communication more than the other groups. Also, the group had more diverse cyber behavior including internet addiction. The implications of the study were further discussed.

• 대한가정학회지
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• 제43권11호
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• pp.153-164
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• 2005

The purpose of this study was to examine the effect of relationship commitment on the female customer's future behavioral intention in relation to the criteria of evaluating cyber stores in internet shopping malls. This study used questionnaire and judgment sampling to survey consumers who have bought product in internet shopping malls. The respondents were 329 women from their twenties to fifties. The data were analyzed by factor analysis, cluster analysis, ANOVA, regression and Duncan test. The results were as follows: 1. The evaluative criteria of cyber stores were product characteristics of the store, convenience and trust, and promotion and information provision. 2. There were significant differences in relationship commitment among groups according to differences of cyber store evaluation criteria. 3. The dimensions of relationship commitment were affective commitment, calculus commitment and normative commitment. 4. Relationship commitment was found to have a significant effect on the customer's future behavioral intention. Especially, affective commitment was shown to have a significant effect on the future behavioral intention.

• 정보처리학회논문지A
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• 제14A권1호
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• pp.63-72
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• 2007

본 논문에서 웹 서버 클러스터 환경에서 웹 요청들의 분산을 위한 부하 분산 기법을 제안한다. 전통적인 주기적 부하 정보 갱신 기반의 부하 분산 기법에서는 동기화된 부하 정보와 동적 페이지에 포함된 스크립트들의 갱신 정보 때문에 Cyber Foraging 서비스 같은 동적 웹 응용프로그램에서는 적합하지 않다. 이를 해결하기 위해 Update-on-Finish 부하 분산 알고리즘은 비주기적인 부하 갱신 방법을 사용하고 있다. 웹 스위치는 비주기적인 부하 리포팅 후, 서버들의 실제 부하 정보를 알 수 있다. 그런후 실제 정보에 따라 부하 분산 스케줄을 재배열한다. 하지만 Update-on-Finish 알고리즘의 경우 부하 정보를 유지하기 위한 통신 부하가 크다는 문제점을 가진다. 본 논문에서는 각 서버가 K%의 작업을 마친 후 비주기적 부하 정보 보고를 통하여 부하 감소시킨 방법을 제안한다. 또한 서버의 처리능력이 다른 환경을 고려하여 서로 다른 threshold Ti값을 적용함으로써, 다양한 처리 능력을 가진 서버들을 위한 로드 밸런싱 알고리즘으로 확장하여 제안하고 있다. 시뮬레이션 결과에서 제안된 K-Percent-Finish Reporting 방법은 Update-on-Finish 방법보다 최소 50% 이상의 통신 부하를 감소시키면서, 기존 주기적 부하정보 갱신 기반의 관련 연구들보다 향상된 시스템 처리 능력을 보여주고 있다.

• 정보보호학회논문지
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• 제25권4호
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• pp.767-780
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• 2015

최근 몇 년간 스마트폰의 보급률이 폭발적으로 증가하면서 사이버범죄는 기존의 수사체계의 한계를 넘어서는 새로운 형태의 수사단서들을 쏟아내고 있다. 일선 경찰관서에서는 사건 접수 시 피해자로부터 이러한 형태의 수사단서를 수집하여 방대하게 축적하고 있으나, 이를 체계적으로 관리하고 있지 않아 많은 데이터 속에서 이것이 내포하고 있는 숨은 의미를 지나치는 경우가 많다. 사이버범죄에서 주 범행 도구인 컴퓨터 시스템의 특성상 기계적이고 복잡한 단서가 대량 생성되므로, 수집된 수사단서를 체계적으로 분류, 단순화하여 분석할 필요가 있다. 본 논문에서는 국내에서 발생되는 사이버범죄 유형에 따른 수사단서를 체계적으로 분류, 단순화하여 주요수사단서를 선정하고, 데이터 마이닝 및 시각화를 통해 사건 수사단서 간 상호 연관성을 확인할 수 있었다. 이러한 사이버범죄 데이터 활용을 통해 범죄 조기차단 및 중복수사를 방지하여 수사의 효율성을 증대하고 사이버범죄 예방을 도모하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권7호
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• pp.2257-2285
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• 2022

Cyber-physical systems (CPS) have been growing exponentially due to improved cloud-datacenter infrastructure-as-a-service (CDIaaS). Incremental expandability (scalability), Quality of Service (QoS) performance, and reliability are currently the automation focus on healthy Tier 4 CDIaaS. However, stable QoS is yet to be fully addressed in Cyber-physical data centers (CP-DCS). Also, balanced agility and flexibility for the application workloads need urgent attention. There is a need for a resilient and fault-tolerance scheme in terms of CPS routing service including Pod cluster reliability analytics that meets QoS requirements. Motivated by these concerns, our contributions are fourfold. First, a Distributed Non-Recursive Cloud Model (DNRCM) is proposed to support cyber-physical workloads for remote lab activities. Second, an efficient QoS stability model with Routh-Hurwitz criteria is established. Third, an evaluation of the CDIaaS DCN topology is validated for handling large-scale, traffic workloads. Network Function Virtualization (NFV) with Floodlight SDN controllers was adopted for the implementation of DNRCM with embedded rule-base in Open vSwitch engines. Fourth, QoS evaluation is carried out experimentally. Considering the non-recursive queuing delays with SDN isolation (logical), a lower queuing delay (19.65%) is observed. Without logical isolation, the average queuing delay is 80.34%. Without logical resource isolation, the fault tolerance yields 33.55%, while with logical isolation, it yields 66.44%. In terms of throughput, DNRCM, recursive BCube, and DCell offered 38.30%, 36.37%, and 25.53% respectively. Similarly, the DNRCM had an improved incremental scalability profile of 40.00%, while BCube and Recursive DCell had 33.33%, and 26.67% respectively. In terms of service availability, the DNRCM offered 52.10% compared with recursive BCube and DCell which yielded 34.72% and 13.18% respectively. The average delays obtained for DNRCM, recursive BCube, and DCell are 32.81%, 33.44%, and 33.75% respectively. Finally, workload utilization for DNRCM, recursive BCube, and DCell yielded 50.28%, 27.93%, and 21.79% respectively.

• 한국의류학회지
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• 제27권7호
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• pp.789-799
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• 2003

The purpose of this study was to find out clothing evaluation criteria and purchase intention according to consumers' shopping orientation and demographic factors when they shop online. The subjects were 240 men and women living in the metropolitan area. For data analysis, factor analysis, cluster analysis, ANOVA, t-test, Duncan test and descriptive statistics were conducted. The results are as follows: 1. Important clothing evaluation criteria were considered in order of price, style, fit, size and product guarantee etc. Purchase intention was showed more highly when products are related to low involvement than high involvement. 2. Consumers with high hedonic and utilitarian shopping orientation considered clothing evaluation criteria more importantly but showed low level of purchase intention in cyber shopping. And consumers with low hedonic and utilitarian shopping orientation considered clothing evaluation criteria less importantly but showed high level of purchase intention in cyber shopping. 3. There were significant differences in evaluation criteria and purchase intention according to demographic variables. Especially women considered evaluation criteria more importantly and had higher level of purchase intention than men.

• 응용통계연구
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• 제11권2호
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• pp.389-401
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• 1998

본 논문에서는 멀티미디어를 활용한 회귀분석 학습시스템 CybeRClass(Cyber Regression Class)를 소개하고자 한다. CybeRClass는 음성정보와 애니메이션 등을 활용하여 회귀분석에 대한 학습을 시켜주는 시스템이다. 이 시스템은 군집분석이나 판별분석 등의 다변량분석 학습이 가능하도록 설계되었다. 멀티미디어 기술을 위한 도구로는 Multimedia ToolBook을 사용하였으며, 통계계산과 통계그라픽을 위해서는 객체지향 통계 언어인 Xlisp-Stat을 사용하였다.