• Information and Communications Magazine
• /
• v.30 no.1
• /
• pp.24-32
• /
• 2012

우리는 지금 스마트 사회에 살아가고 있다. 언제 어디서든 스마트 디바이스를 통해 기존에 PC에서 하던 작업들을 손쉽게 하고 있다. 한편 스마트폰의 확산으로 이용자 수가 급증하고 있는 소셜네트워크 서비스(SNS)는 이용자들이 자신의 일상적인 이야기를 사이버공간에 게시함으로 인해 개인의 사생활 정보들이 노출되고, 그러한 정보들이 범죄에 악용되는 사례들이 눈에 띄게 증가하고 있다. 또한 SNS를 이용한 악성코드의 유포 및 빠른 전파 등도 새로운 보안위협으로 나타나고 있다. 그 밖에 스마트 기기를 대상으로 한 해킹 및 악성코드 감염 등 위협이 증가하고 있는 형편이다. 본고에서는 스마트 사회의 주요 보안위협을 살펴보고 미국, 유럽, 일본, 호주 등 선진국의 관련 정책 동향과 국내 정책과 실태를 분석하여 새로운 정보보호 정책 수립 방향을 제언하고자 한다. 스마트 사회 위험 요소로 가장 보편적으로 사용되고 있는 스마트폰과 스마트폰을 통해 이용되고 있는 소셜네트워크 서비스, 클라우드 서비스의 보안위협을 제기하고 최근 글로벌 이슈로 떠오르고 있는 빅 데이터 환경의 보안위협을 분석하였다. 스마트 사회의 위협을 대비하고 있는 주요국 정책을 살펴보면, 미국의 경우 사회적 합의를 바탕으로한 감시와 통제를 강화하는 정책을 추진 중에 있으며 유럽의 5개국 EU5(영국, 독일, 프랑스, 스페인, 이탈리아)는 스마트폰 위협을 중심으로 공동 대응 방안을 마련하고 있다. 일본은 스마트 워크중심의 보안대책을 강구하고 있으며 호주는 스마트 사회 보안위협에 대한 국민의 인식제고에 주력하고 있다. 국내의 경우도 스마트 사회의 보안위협에 선제적 대응을 위하여 "스마트 모바일 시큐리티 종합계획"을 수립하여 추진중에 있다. 하지만 보안 실태를 보면 스마트 사회 보안위협에 대한 이용자들의 우려는 높은 반면 기업의 보안 대책 마련에 대한 투자는 여전히 미흡한 상황이다. 향후 우리 사회가 디바이스간 융합을 넘어 모든 사물이 연결되는 초(超)연결(Hyper-Connectivity) 시대로 진화되어 가면 편리성이 증대되는 만큼 더 많은 위협에 우리의 일상이 노출되는 문제가 발생하게 될 것이다. 안전한 미래 사회로 진입하기 위해서는 보다 체계적이고 종합적인 정보보호 정책마련이 필요하다. 본고에서는 이를 위한 정책수립의 방향을 제언했다.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.27 no.6
• /
• pp.1467-1482
• /
• 2017

Recently, Interests on The Fourth Industrial Revolution has been increased. In the manufacturing sector, the introduction of Smart Factory, which automates and intelligent all stages of manufacturing based on Cyber Physical System (CPS) technology, is spreading. The complexity and uncertainty of smart factories are likely to cause unexpected problems, which can lead to manufacturing process interruptions, malfunctions, and leakage of important information to the enterprise. It is emphasized that there is a need to perform systematic management by analyzing the threats to the Smart Factory. Therefore, this paper systematically identifies the threats using the STRIDE threat modeling technique using the data flow diagram of the overall production process procedure of Smart Factory. Then, using the Attack Tree, we analyze the risks and ultimately derive a checklist. The checklist provides quantitative data that can be used for future safety verification and security guideline production of Smart Factory.

• KIPS Transactions on Computer and Communication Systems
• /
• v.5 no.12
• /
• pp.491-498
• /
• 2016

Recently leakages of confidential information and internal date have been steadily increasing by using booting technique on portable OS such as Windows PE stored in portable storage devices (USB or CD/DVD etc). This method allows to bypass security software such as USB security or media control solution installed in the target PC, to extract data or insert malicious code by mounting the PC's storage devices after booting up the portable OS. Also this booting method doesn't record a log file such as traces of removable storage devices. Thus it is difficult to identify whether the data are leaked and use trace-back technique. In this paper is to propose method to help facilitate the process of digital forensic investigation or audit of a company by collecting and analyzing BIOS firmware images that record data relating to BIOS settings in flash memory and finding traces of portable storage devices that can be regarded as abnormal events.

• Journal of Convergence for Information Technology
• /
• v.11 no.10
• /
• pp.1-9
• /
• 2021

Although interest in the metaverse increases due to the pandemic, the understanding of the metaverse interest factor, which is an essential element for the sustainability of any metaverse platform, is lacking. This study aims to reveal the interest factors of metaverse services by analyzing user community discourse. We collected user community discourses from and applied LDA to extract topics. Further, we categorize the factors into growth and verifiable indicators, various levels of interaction, self-expression and freedom, and connection with the real world. The content planning direction of the game-based metaverse of utilization was derived. This study is meaningful in that it analyzes the interest factors of the metaverse based on the empirical evidence of user discourse data.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.2
• /
• pp.625-631
• /
• 2021

This study examined the effects of self-critical perfectionism on organizational citizenship behavior (OCB) and the moderating effects of gender in the relationship to understand deeply the dilemmatic situation resulting from OCB at the individual level. In other words, based on the conservation of resources theory, this study examined how self-critical perfectionism influences the OCB and how gender moderates the relationship between self-critical perfectionism and OCB. More specifically, this study predicts that self-perfectionism will be negatively related to OCB. Furthermore, this negative relationship between self-critical perfectionism and OCB will be strengthened in men compared to women. To test these hypotheses, the supervisor-subordinate survey was conducted, and 150 dyad data were analyzed. The analytical results of HLM (Hierarchical Linear Modeling) showed that self-critical perfectionism negatively influenced the OCB, and this negative effect was strengthened in men compared to women. This paper suggests implications and limitations for the literature on OCB.

• Journal of Convergence for Information Technology
• /
• v.12 no.4
• /
• pp.158-165
• /
• 2022

Journal of Convergence for Information Technology. This study explores how native speakers (NSs) and non-native speakers (NNSs) of English negotiate meanings during conversational interactions to achieve successful communication. This study involved 40 participants: 20 native English speakers and 20 Korean university students. The participants were divided into 20 pairs, with each pair consisting of one NS and one NNS. Tasks for conversation were given and the execution recorded in order to collect data. 37 recorded conversations were transcribed and used for analysis, including statistical analyses. Results showed that both NSs and NNSs mutually put in effort for successful communication. While NSs mostly played the role of leading the natural flow of the conversation, encouraging their non-native interlocutors to speak, NNSs used various strategies to compensate for their lack of linguistic competence in the target language. NNSs employed a wide range of communicative strategies to keep the conversation going. The results of this study contribute to a better understanding of interactions between NSs and NNSs and yield pedagogical implications.

• Knowledge Management Research
• /
• v.24 no.1
• /
• pp.223-243
• /
• 2023

RPA is implemented through management policy and enforced in mandatory environments to enhance performance and efficiency in various fields. However, the success of RPA implementation depends on the level of active engagement from organization members, even in a mandatory setting. This study identifies perceived ease of use, usefulness, accountability, perceived risk, and self-efficacy as variables that influence conative use behavior, which consists of reflective secondary factors such as immersion, reinvention, and learning. Data was collected from 207 office workers in various industries who have experience with RPA to test the proposed research model. The structural equation was verified using SPSS 20.0 and SmartPLS 4.0, and the analysis showed that all the proposed variables had a significant impact on conative use behavior. Our research findings provide theoretical and practical implications in knowledge management, enabling companies that implement RPA to recognize and address factors that encourage their members to actively use RPA.

• The Journal of Society for e-Business Studies
• /
• v.27 no.2
• /
• pp.21-36
• /
• 2022

Recently, as COVID-19 has made the e-commerce market expand widely, customers who have different consumption patterns appear in the market. Because companies can obtain opinions and information of customers from reviews, they increasingly face the requirements of managing customer reviews on online platform. In this study, we analyze customers and carry out market segmentation for classifying and defining type of customers in e-commerce. Specifically, K-means clustering was conducted on customer review data collected from Wemakeprice online shopping platform, which leads to the result that six clusters were derived. Finally, we define the characteristics of each cluster and propose a customer management plan. This paper is possible to be used as materials which identify types of customers and it can reduce the cost of customer management and make a profit for online platforms.

• Journal of Convergence for Information Technology
• /
• v.12 no.3
• /
• pp.55-65
• /
• 2022

Elderly people with Parkinson's disease have higher rates of physical and mental risk factors for falls than non-Parkinson's disease elderly. The purpose of this study is to investigate this by using national data that includes the entire population of the elderly in Korea. As a secondary analysis study using data survey on the elderly by the Ministry of Health and Welfare in 2017, there were a total of 103 elderly people with Parkinson's disease, and a total of 96 subjects were analyzed excluding missing values. In the elderly with Parkinson's disease, the factor most influencing the fall was IADL, and IADL is related to motor control function. Decreased motor control limits physical movements essential for daily life, and even affects self-protective behavior in emergency situations, affecting falls. Based on the research results that IADL can affect falls, various exercise therapies for fall prevention interventions in the elderly with Parkinson's disease can be suggested.

• Smart Media Journal
• /
• v.12 no.8
• /
• pp.60-68
• /
• 2023

After COVID-19, hotel industry is rapidly experiencing changes in the business environment, and under the influence of the Fourth Industrial Revolution, hotel industry is striving to secure competitive advantages through differentiation, including the use of big data and the IoT in service provision, as well as the introduction of artificial intelligence(AI) robot services. This study analyzed the perceived value of AI robot services and their impact on usage attitudes and behavioral intentions of customers who have used hotels that have introduced AI robot services. The results of the study showed that the value of robot services perceived by customers who have used robot services in hotels is categorized into three dimensions: social, experiential, and functional, and all of them have a positive effect on usage attitudes, with social, functional, and experiential values having a positive effect on usage attitudes in that order. Attitude toward use was also analyzed to have a positive effect on behavioral intention, which is consistent with the value-attitude-behavior model. Therefore, it is necessary for hotels to improve the satisfaction of hotel guests through diversified services of AI robot service.