• Journal of Information Technology Applications and Management
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• 제30권5호
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• pp.121-139
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• 2023

This study tried to identify factors affecting online activity before and after the COVID-19 pandemic. To this end, the effects of consumer innovativeness, self-esteem, and need for cognition on the activity of online media such as Internet and social media were investigated, and whether privacy concerns had a moderating effect. For this study, survey data from 2019(before the outbreak of COVID-19) to 2021(after the outbreak of COVID-19) of the 'Korea Media Panel Survey' surveyed by the Korea Information Society Development Institute was used for analysis. The research results that affect Internet activity are as follows. Before the outback of COVID-19, it was found that hedonic innovativeness and social innovativeness had a positive effect and cognitive innovativeness had a negative effect on increasing Internet activity. There was no moderating effect on privacy concerns. The period after the outbreak of COVID-19, need for cognition was found to have a positive effect on increasing social media activity. In addition, the moderating effect of privacy concerns was found in the relationship between need for cognition and Internet activity. There was no privacy concern effect before the outbreak of COVID-19, and the privacy concern effect appeared on functional innovation and need for cognition after the outbreak of COVID-19. This study aims to present various implications for companies to understand the characteristics of online consumers using the Internet and social media after the pandemic.

• 한국조경학회지
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• 제23권1호
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• pp.95-109
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• 1995

All human spatial behavior and psychological stress are affected by the 'Privacy'of each space. This Paper deals with the theoretical review of 'privacy'concept and establishment of 'Privacy Model' that can be a useful design tool. 'Privacy Index(Pl)' model of 10 point scale, which is based on 'Hierarchic system of Privacy' in urban spaces by Chermeyeff and Alexander(1963), was established as a hypothetical model in this study. And'Activity Suitability', based on each hierarchy of primacy level, was investigated at each site to construct the validity of 'Privacy Model'. Total 67 sites were investigated by on.-site questionnaire in 3 types of outdoor spaces, (Park), (Campus), and (Garden) respectively. The major results are as follows; 1. The P7rivacy level of earth spaces, distributed from to in and . and (Groun Private> spaces are dominant In , spaces are dondnant 2, Privacy level, based on , showed higher privacy level than that of . This means the criteria of each privacy level should be modified for more specific space. The . could be derived from the (Activity Suitability) of each space. 3.The cognition of privacy level. by user group, showed no significant difference in dach group by sex, age, education, and job, respectively.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권12호
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• pp.4345-4363
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• 2021

Deep Learning as a Service (DLaaS), utilizing the cloud-based deep neural network models to provide customer prediction services, has been widely deployed on mobile cloud computing (MCC). Such services raise privacy concerns since customers need to send private data to untrusted service providers. In this paper, we devote ourselves to building an efficient protocol to classify users' images using the convolutional neural network (CNN) model trained and held by the server, while keeping both parties' data secure. Most previous solutions commonly employ homomorphic encryption schemes based on Ring Learning with Errors (RLWE) hardness or two-party secure computation protocols to achieve it. However, they have limitations on large communication overheads and costs in MCC. To address this issue, we present LeHE4SCNN, a scalable privacy-preserving and communication-efficient framework for CNN-based DLaaS. Firstly, we design a novel low-expansion rate homomorphic encryption scheme with packing and unpacking methods (LeHE). It supports fast homomorphic operations such as vector-matrix multiplication and addition. Then we propose a secure prediction framework for CNN. It employs the LeHE scheme to compute linear layers while exploiting the data shuffling technique to perform non-linear operations. Finally, we implement and evaluate LeHE4SCNN with various CNN models on a real-world dataset. Experimental results demonstrate the effectiveness and superiority of the LeHE4SCNN framework in terms of response time, usage cost, and communication overhead compared to the state-of-the-art methods in the mobile cloud computing environment.

• Asia pacific journal of information systems
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• 제22권1호
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• pp.53-77
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• 2012

Financial firms, especially large scaled firms such as KB bank, NH bank, Samsung Card, Hana SK Card, Hyundai Capital, Shinhan Card, etc. should be securely dealing with the personal financial information. Indeed, people have tended to believe that those big financial companies are relatively safer in terms of information security than typical small and medium sized firms in other industries. However, the recent incidents of personal information privacy invasion showed that this may not be true. Financial firms have increased the investment of information protection and security, and they are trying to prevent the information privacy invasion accidents by doing all the necessary efforts. This paper studies how effectively a financial firm will be able to avoid personal financial information privacy invasion that may be deliberately caused by internal staffs. Although there are several literatures relating to information security, to our knowledge, this is the first study to focus on the behavior of internal staffs. The big financial firms are doing variety of information security activities to protect personal information. This study is to confirm what types of such activities actually work well. The primary research model of this paper is based on Theory of Planned Behavior (TPB) that describes the rational choice of human behavior. Also, a variety of activities to protect the personal information of financial firms, especially credit card companies with the most customer information, were modeled by the four-step process Security Action Cycle (SAC) that Straub and Welke (1998) claimed. Through this proposed conceptual research model, we study whether information security activities of each step could suppress personal information abuse. Also, by measuring the morality of internal staffs, we checked whether the act of information privacy invasion caused by internal staff is in fact a serious criminal behavior or just a kind of unethical behavior. In addition, we also checked whether there was the cognition difference of the moral level between internal staffs and the customers. Research subjects were customer call center operators in one of the big credit card company. We have used multiple regression analysis. Our results showed that the punishment of the remedy activities, among the firm's information security activities, had the most obvious effects of preventing the information abuse (or privacy invasion) by internal staff. Somewhat effective tools were the prevention activities that limited the physical accessibility of non-authorities to the system of customers' personal information database. Some examples of the prevention activities are to make the procedure of access rights complex and to enhance security instrument. We also found that 'the unnecessary information searches out of work' as the behavior of information abuse occurred frequently by internal staffs. They perceived these behaviors somewhat minor criminal or just unethical action rather than a serious criminal behavior. Also, there existed the big cognition difference of the moral level between internal staffs and the public (customers). Based on the findings of our research, we should expect that this paper help practically to prevent privacy invasion and to protect personal information properly by raising the effectiveness of information security activities of finance firms. Also, we expect that our suggestions can be utilized to effectively improve personnel management and to cope with internal security threats in the overall information security management system.

• 한국전자거래학회지
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• 제21권2호
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• pp.135-150
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• 2016

대부분의 웹 사이트에서는 법을 준수하기 위해 정보주체의 개인정보 수집에 동의를 구하는 이용약관이나 개인정보 취급방침(이하 '취급방침')을 마련하고 있다. 국내 온라인 및 모바일 서비스에서 이용자로부터 수집하는 개인정보의 항목을 명시하고자 마련한 취급방침을 대부분의 이용자는 읽지도 않고 그냥 넘기는 등 이용자 관점에서 인지하지 못하는 경우가 많다. 보다 구체적으로 취급방침을 확인했을 때 이용자가 제공하는 개인정보의 인지 및 서비스 이용에 어떤 영향이 있는지를 살펴보고자 카카오톡 이용자를 중심으로 실험하였다. 332명의 실험 참여 인원을 구성해 취급방침에 대해 기존 행동을 유지하는 그룹과 Display를 확인하여 내용을 인지하는 그룹을 구성해 개인 프라이버시 민감도의 차이를 고려하여 개인정보보호 행동의 차이를 분석하여 시사한다. 본 연구에서는 민감군과 무관심군으로 나누었을 때 취급방침 인지로 나타나는 보호행동을 제시하고 서비스 제공자의 정책 실현을 위한 가이드라인을 제시한 점에서 그 의의가 있다.

• 정보보호학회논문지
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• 제28권3호
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• pp.681-694
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• 2018

본 연구에서는 SNS 이용자의 개인정보와 자기표현정보의 보호행동을 두 번의 연구를 통해 규명하였다. 제1차 연구에서는 연구에 자원한 88명의 대학생들에게 평소 개인정보 중요도 인지와 이를 보호하기 위한 행동의지에 대해 연구하였다. 제2차 연구에서는 정보검색 전문가가 연구에 자원한 88명의 대학생들이 SNS에 공개한 자기표현정보들을 수집 조직화한 다음, 이를 자원자 각각에게 보여주어 확인하게 한 다음, 자기표현정보의 중요도와 이에 대한 정보보호 행동의지에 대해 연구하였다. 제1차 조사연구에서는 개인정보 중요도 인식이 개인정보 비공개에 가장 큰 영향을 미쳤고, 다음으로 공개범위축소와 법제도화요구에 영향을 미쳤다. 제2차 연구에서는 SNS 이용자들이 평소 자신의 의견이나 생활상을 SNS에 공개적으로 표현하고 있지만, 실험적 조치를 통해 이러한 자기표현정보도 누적되고 조직화되면 민감한 정보가 될 수 있다는 점을 인식하게 해주면, 자기표현정보 비공개, 공개범위축소, 법제도화요구의 정보보호 행동의지를 갖게 됨을 확인하였다. 본 연구의 시사점은 개인정보 및 자기표현정보 보호행동에 관한 기존의 연구를 자구적 보호 노력과 외부적 보호요구 노력으로 확장 세분화함으로써 SNS 상의 정보보호행동을 설명하지 못하는 기존 연구의 한계를 극복하였다는 점이다.

• 한국빅데이터학회지
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• 제5권2호
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• pp.201-213
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• 2020

위험에 대한 인간의 반응은 인지적 요인뿐만 아니라 정서적 요인에도 유의미한 영향을 받는다는 경험적 연구에도 불구하고, 정보 프라이버시 연구에서는 감정적 요인의 역할이 제대로 규명되지 않고 있다. 본 연구는 정서적 관점에서 위치기반 서비스(Location-based service) 사용자의 프라이버시 위험에 대한 대응행위를 탐색하고자 한다. 구체적으로, 본 연구는 세 가지 유형의 개인정보 위협(수집, 해킹, 2차 사용), 두 가지 감정적 반응(걱정, 분노) 및 대응행위(지속적인 사용의도)의 관계를 탐색하였다. 이를 위해 위치기반서비스(Location-based service) 사용자 552 명에 대해 설문조사를 실시하였다. 특정 개인정보 위협에 대한 인식과 특정 감정적 반응의 결합이 지속적 사용의도에 미치는 영향을 분석하기 위해 데이터마이닝 기법 중 하나인 연관규칙(association rule)을 활용하여 분석을 진행하였다. 그 결과 위험에 대한 인식과 정서적 반응의 결합에 따라 사용의도에 차이가 나타났으며, 대체로 개인정보의 2차 사용에 대해 분노의 감정이 유발될 경우 사용의도가 가장 크게 감소하는 것으로 나타났다. 본 연구는 정보 프라이버시 사용자 연구에 감정적 요인을 포함함으로써, 기존의 인지적 접근방식 편향을 보완하고 프라이버시 대응행위에 대한 포괄적 이해를 제공한다는 점에서 학문적 의의가 있다.

• 한국융합학회논문지
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• 제9권1호
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• pp.291-301
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• 2018

본 연구는 핀테크 사용자 및 시스템 특성이 지각된 인식과 지속사용의도에 미치는 영향을 주는 요인이 무엇인지를 살펴보았다. 자료수집은 광주광역시에 거주하고, 스마트폰 등을 사용하는 직장인 등을 대상으로 600명의 설문을 수행하였다. 연구결과, 첫째, 사용자들은 핀테크 서비스에 대한 자기효능, 혁신성, 적합성은 핀테크 서비스의 지각된 인식과 사용의도에 영향을 미치는 것으로 나타났다. 둘째, 시스템 특성은 핀테크 서비스의 지각된 인식 및 사용의도에 긍정적인 영향을 미치는 것으로 나타났다. 셋째, 사용자 특성과 시스템 특성에서 위험성에 대한 가설은 기각되었는데, 개인정보 및 전자금융거래가 유출에 의한 금융사기 등의 피해사례가 급증함에 따라 개인정보유출 및 보안에 대한 우려를 가장 우선시하는 것으로 보인다. 따라서 핀테크 서비스를 확산시키기 위해서는 기업의 마케팅 전략으로 편리성과 사용의도를 저해하는 위험성 등의 불편사항을 제거해 줄 수 있는 핀테크 서비스 전략이 수립되면 효과적일 것이라고 사료된다.

• 대한간호학회지
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• 제30권2호
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• pp.293-306
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• 2000

Providing care to the dementia elderly with behavioral problem is a major issue in nursing homes today. This study was aimed to explore the nursing staffs′ response to aggressive dementia patients, and the effect that the aggressive behavior had on Nsgstaff. The interviews used a semi-structured questionnaire are were carried out from May to July, 1999. The subjects were 23 nursing personnel working in the nursing homes for dementia elderly. The result are as follows; 1. The types of aggressive behavior cited by the subjects was "physical", "linguistic", and "sexual". 2. The factors that caused the behavior were "symptoms of disease", "under- conditioning", "context of nursing care", "unsatisfied need", "relationship to other patients", "change of outer environment", and "invasion of one′s own privacy". 3. The response of the subjects were "unhappiness", "stress", "anger", "exaggeration", "anxiety", and "fear". 4. The management strategies listed by nursing personnel used to alleviate aggressive behavior were "ignorance" "patience" "leaving the area" "soothing sounds" "verbal punishment" "restriction and isolation" and "various management skill appliance" "adaptation". 5. The effect that aggressive behavior and were "disturbance of relationship to elderly" "decline in the amount and quality of nursing care" "interruption of task performance" "job exhaustion" "desire to leave the job" "physical impact" "stress on the cognition of others" "anxiety about health and one own future" "interference to family life′. The findings of this study will be useful in understanding the difficulties of nursing personnel when confronting the aggressive behavior of dementia partients. It also is useful as basic data in preparing efficient intervention program for these difficulties.

• 대한건축학회논문집:계획계
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• 제35권5호
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• pp.3-10
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• 2019

This study is purposed to analyze of House Vision exhibition and projects in Japan. The contemporary residence has been planned and designed with fixed territory and boundary of rooms. According to the symposium of House Vision, the spatial boundary can be studied in the aspect of territory that molds the experience of residents. So, this study reviews Aldo van Eyck's concept of 'in-between'. Through the analysis, House Vision exhibition is revealed that the housing models present architectural characteristics of middleware and third place. The cognition of internal and external boundary stems from movements and activities of residents. That is the dwelling and residential space determined by users and residents. In this regard, 'in-between' of House Vision has structures(multilayer) causing various relationships to be perceived, so as to connect with the dwelling and activities of residents. As a result, it has relational meanings of sharing, as well as makes possible other community life to be done. According to the projects of House Vision, the units and cores have created the new connections and relationships between privacy and publicity. In conclusion, this research shows a new direction of the spatial strategies on House Vision exhibition in Japan.