• 정보보호학회논문지
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• 제33권5호
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• pp.753-760
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• 2023

국내 메신저 중 카카오톡이 가장 높은 점유율을 보유하고 있다. 그만큼 카카오톡의 대화 내용은 디지털포렌식에서 중요한 증거가 되고 있는데, 대화 내용이 사용자 기기에 암호화된 데이터베이스 형태로 저장되어 있다. 또한 macOS는 디스크 암호화 기능이 기본적으로 활성화되어 있어 접근이 어렵다는 특성을 가지고 있다. Windows용 카카오톡 데이터베이스의 복호화 방법은 연구되었지만, macOS용 카카오톡에 대해서는 복호화 방법이 연구된 바 없다. 본 논문에서는 macOS용 카카오톡 데이터베이스와 수신 파일에 대한 복호화 방안과 카카오톡의 UserID가 생성되는 특성을 이용하여 효율적인 전수조사 방안을 제시하고 Windows용 카카오톡과 비교 검토하여 공통점과 차이점을 살펴보았다. 본 논문의 결과는 macOS를 이용한 범죄를 수사할 때 사용자의 행위 및 사건의전개를 분석하는 데에 활용될 수 있을 것으로 기대된다.

• 융합보안논문지
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• 제23권5호
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• pp.45-55
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• 2023

IT 기술의 발전으로 따른 디지털 기기 사용의 보편화와 함께, 익명 통신 기술의 규모 또한 기하급수적으로 증가하고 있다. 이러한 상황에서 특히, 다크 웹(Dark web)과 딥웹(Deep web) 등 익명성을 보장하는 보안 메신저가 디지털 범죄의 온상지가 되고 있다. 익명 네트워크를 이용한 범죄 행위는 사용 기기에 로컬 데이터를 거의 남기지 않아 행위 추적이 어렵다. 미국 연방형사소송규칙과 영국 수사권한법에서는 온라인 수색 관련 법 및 제도 도입을 통해 대응하고 있으나, 한국은 관련 법의 부재로 인하여 수사적 대응 또한 전무한 실정이다. 종래의 (해외에서 사용되는) 온라인 수색 기법은 프로세스가 종료되면 아티팩트(Artifact) 수집을 할 수 없고, 메모리에만 데이터를 저장하는 악성코드에 대응할 수 없으며, 민감 데이터 식별이 어렵고, 무결성이 침해된다는 기술적 한계가 확인된다. 본 논문에서는 기본권 침해를 최소화하는 방향에서 물리 메모리 데이터 분석을 통한 익명 네트워크 사용자 행위 추적 기반 블록체인 범죄 수사방식의 국내 도입 방안을 제안한다. 클로링을 통해 수집한 다크 웹 사이트 사용자의 행위를 추적해 물리 메모리의 잔존율과 77.2%의 합의 성공률을 확인함으로써 제안 방안의 수사로서의 실효성을 입증하고자 하였다.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.515-521
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• 2020

Work motivation is critical for ensuring sustainability of any business firm. Motivated personnel essentially helps an organization achieve its organizational goal and objective. Hence, it has become an essential duty for business managers and management committees to identify the motivating factors that would strongly affect their employees. The purpose of the current research is to identify which are the factors that motivate service employees most at their workplace in Bangladesh. The study has used survey questionnaires to collect data from service employees. Convenience sampling is used for data collection. A total of 240 questionnaires were distributed and 183 completed questionnaires were returned (response rate: 77%). The study used purposeful motivating factors, which are ranked (from 1 to 10) by the service employees according to the significance of the factors. Mean value is applied to determine the most crucial motivating factor, where the factor with lowest mean value is considered as the highest significant motivating factor. Results reveal that job certainty, career growth and advancement opportunity, and quality working environment have been the most crucial and influential motivating factors for the service employees. The study adequately underlines the necessity of motivational factors and provides some guidelines to keep employees motivated.

• KIEAE Journal
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• 제15권1호
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• pp.117-127
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• 2015

The cool surface ratio could be used as a proxy of the overall thermal environment contributing to heat islands in urban area. This research proposes a comparative evaluation framework in an objective and quantitative way for measuring cool surface ratios. Two university campuses (Kyungpook National University: KNU, South Korea and UC Davis: University of California, Davis, USA) were selected as case study sites in order to monitor cool surface condition. Google Earth combined with digital maps realistically identified the major type of cool surfaces such as cool roofs and water bodies in the study area. Cool surfaces were sparsely identified over the KNU campus while the UC Davis campus was heavily covered by cool surfaces such as cool roofs and water bodies, resulting in almost four times more first-grade cool surfaces, as compared to KNU. It is confirmed that standard remote sensing technology can offer the viable method of measuring and comparing the campus-wide cool surface condition. It is anticipated that this research output could be used as a valuable reference to initiate a nation-wide cool surface strategy since objective evidence has been provided based on area-wide measurement for the cool surface in the two university context.

• World Technopolis Review
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• 제5권1호
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• pp.47-60
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• 2016

In today's digital non-linear global business environment, innovation initiatives are influenced by inter-organizational, political, economic, environmental, technological systems, as well as by decisions made individually by key actors in these systems. Network-based structures emerge from social linkages and collaborations among various actors, creating innovation ecosystems, complex adaptive systems in which entities co-create value. A shared vision of value co-creation allows people operating individually to arrive together at the same future. Yet, relationships are difficult to see, continually changing and challenging to manage. The Innovation Ecosystem Transformation Framework construct includes three core components to make innovation relationships visible and articulate networks of relational capital for the wellbeing, sustainability and business success of innovation ecosystems: data-driven visualizations, storytelling and shared vision. Access to data facilitates building evidence-based visualizations using relational data. This has dramatically altered the way leaders can use data-driven analysis to develop insights and provide ongoing feedback needed to orchestrate relational capital and build shared vision for high quality decisions about innovation. Enabled by a shared vision, relational capital can guide decisions that catalyze, support and sustain an ecosystemic milieu conducive to innovation for business growth.

• 대한전기학회논문지:전력기술부문A
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• 제48권12호
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• pp.1479-1485
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• 1999

This paper proposes a fuzzy decision making method for power transformer protection to identify an internal fault from other transient states such as inrush, over-excitation and an external fault with current transformer (CT) saturation. In this paper, analyzing over 300 EMTP simulations of disturbances, four input variables are selected and fuzzified. At every sampling interval from half to one cycle after a disturbance, from the EMPT simulations, different fuzzy rule base is composed of twelve if-then fuzzy rules associated with their basic probability assignments for singleton- or compound-support hypotheses. Dempster's rule of combination is used to process the fuzzy rules and get the final decision. A series of test results clearly indicate that the method can identify not only an internal fault but also the other transients. The average of relay operation times is about 12(ms). The proposed method is implemented into a Digital Signal Processor (TMS320C31) and tested.

• 정보보호학회논문지
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• 제26권1호
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• pp.125-134
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• 2016

MySQL 데이터베이스는 현재 데이터베이스 시장에서 높은 점유율을 보이며 많은 사용자들이 사용한다. MyISAM 스토리지 엔진의 경우, 이전에 디폴트 엔진으로 사용되었음에도 불구하고 실질적인 레코드 복구 방법이 존재하지 않았다. 삭제된 레코드에는 데이터베이스 수사 시 중요한 증거로 쓰일 수 있는 정보가 존재할 가능성이 높으며, 수사관이 방대한 양의 데이터베이스를 직접 조사하여 일일이 정보를 판별하는 것은 거의 불가능하다. 본 논문에서는 MySQL MyISAM 데이터베이스 구조를 분석하여 삭제된 레코드의 복구 기법을 제안하며 이를 도구로 구현하여 실험한 결과를 제시한다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2001년도 추계학술대회 논문집
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• pp.79-82
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• 2001

The wide use of Information Technology(IT), especially the rapid diffusion of the internet, brings us a new paradigm, called "Electronic Commerce", or "Digital Economy." The paradigm is regarded as a business strategy essential to organization's competitive advantage. Because very few studies have been performed in the area of e-strategy, especially in the combined strategy of clicks and mortars, a research on this area is needed. The main questions of this study are empirically to validate the usefulness and the applicability of a decision roadmap and to analyze the situation of Korean firms based on the decision roadmap. Major results of this study are as follows; First, there is an evidence that the roadmap can be applied to firms regardless of its industry and size. Second, usefulness of the roadmap is proved since companies that followed the prescription of the decision roadmap showed high degree of satisfaction with online sales amount. Third, Korean firms in general do not achieve the ideal degree of integration (or separation), especially in terms of management and operation. In conclusion, this study provides e-business strategy planners some guidelines about how to achieve right mix of on-line and off-line business.

• 동의생리병리학회지
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• 제32권5호
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• pp.315-320
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• 2018

The purpose of this study is to investigate reasearch trend of acupuncture treatment on shoulder impingement syndrome. This study investigated the recent studies about acupuncture treatment for shoulder impingement syndrome via searching Korean and foreign electronic databases(Research Information Services, National Digital Science Library, Oriental Medicine Advanced Searching Integated Services, PubMed, China National Knowledge Infrastructure). The search term was searched by combining 'shoulder impingement sydrome', 'subacrominal pain', 'acupuncture', 'needle therapy', and was limited to the articles published from 2005 to 2017. 14 studies were found to be analyzed according to the type of study, the number of cases, the type of treatment, the instruments for assessment and published year. 14 studies were published since 2005, 6 case reports, 8 randomized controlled trials. In the treatment of shoulder impingement syndrome, treatments such as acupuncture, acupotomy, pharmacopuncture, laser acupuncture, combined treatment of exercise and rehabilitation were performed. Visual analogue scale(VAS), range of motion(ROM) and various questionnaires were used as primary assessments. In each study, acupuncture treatment was reported to have a significant effect in the pain, range of motion and disability of shoulder impingement syndrome. In order to ensure objective evidence on acupuncture treatment, large scale case reports and randomized controlled trials should be continued.

• Asian Journal of Business Environment
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• 제8권4호
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• pp.5-15
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• 2018

Purpose - The research aimed to reveal real decisional behavioral of management institutes in India for social media marketing usage, and analyses of empirical elements of social media consumption pattern. Research design, data, and methodology - The investigation was based around a research methodology using quantitative analysis with appropriate statistical techniques on random surveys of consumers, detailed exploratory and confirmatory factor analyses are applied to assess the empirical validity of the model and multiple regression employed using R studio edition to validate the reliability of the developed models. Results - A new conceptual framework is proposed - the management institutions decision model, providing a tool for effective and more focused decision-making strategies for developing better utilization techniques for social media. Management institutions have different requirements based upon objectives and resources available. The evidence suggests that the administrators need to be more aware of consumer indicators when targeting and designing social media marketing strategy. Conclusions - The research was based on samples and not the entire population of target consumers, providing limitations. As an inferential statistical method was chosen, the results might be susceptible to inaccuracy. The model developed from different age users, thereby providing rich perspectives into social media usage pattern.