• Title/Summary/Keyword: Sandbox

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A Research of Anomaly Detection Method in MS Office Document (MS 오피스 문서 파일 내 비정상 요소 탐지 기법 연구)

  • Cho, Sung Hye;Lee, Sang Jin
    • KIPS Transactions on Computer and Communication Systems
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    • v.6 no.2
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    • pp.87-94
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    • 2017
  • Microsoft Office is an office suite of applications developed by Microsoft. Recently users with malicious intent customize Office files as a container of the Malware because MS Office is most commonly used word processing program. To attack target system, many of malicious office files using a variety of skills and techniques like macro function, hiding shell code inside unused area, etc. And, people usually use two techniques to detect these kinds of malware. These are Signature-based detection and Sandbox. However, there is some limits to what it can afford because of the increasing complexity of malwares. Therefore, this paper propose methods to detect malicious MS office files in Computer forensics' way. We checked Macros and potential problem area with structural analysis of the MS Office file for this purpose.

Three-dimensional Equivalent Transient Ground Heat Exchanger Thermal Analysis Model by Considering Heating and Cooling Operations in Buildings (건물의 냉난방 운전을 고려한 3차원 동적 지중 열교환기 열해석 모델)

  • Baek, Seung Hyo
    • Land and Housing Review
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    • v.9 no.4
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    • pp.25-32
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    • 2018
  • Application of geothermal energy in buildings has been gaining popularity as it provides the benefits of both heating and cooling a building. Among the various types of geothermal energy systems, ground-coupled heat pump system is the most commonly applied one in South Korea. A ground heat exchanger plays an important role as a heat source in winter and a heat sink in summer. For the stable operation of a ground-coupled heat pump system, a ground heat exchanger should be sized so that it provides sufficient heating and cooling energy. Heating and cooling energies generated in ground heat exchangers mainly depend on the temperature difference between the heating medium in ground heat exchangers and the surrounding ground. In addition, the performance of ground heat exchangers influences the change in ground temperature. Therefore, it is necessary to consider this interrelation between the change in the ground temperature and the performance of ground heat exchanger for an accurate estimation of its performance. However, previous thermal analysis models for ground heat exchangers are not competent enough to allow a complete understanding of this interrelation. Therefore, this study proposes a three-dimensional equivalent, transient ground heat exchanger analysis model. First, a previous thermal analysis model for ground heat exchangers, including an analytical model, a g-function, and a numerical model are analyzed. Next, to overcome the limitations of the previous models, a three-dimensional equivalent, transient ground heat exchanger model is proposed. Finally, this study validated the proposed model with the measurement data of the thermal response test, sandbox test, and TRNSYS DST model. All validation results showed a good agreement. These findings helped us to investigate the thermal performance of ground heat exchangers more accurately than the analytical models, and faster than the numerical models. Furthermore, the proposed model contributes to the design of ground heat exchangers by considering the different operation conditions of buildings.

Seeking Platform Finance as an Alternative Model of Financing for Small and Medium Enterprises in Korea (중소기업 대안금융으로서 플랫폼 금융의 모색)

  • Chung, Jay M.;Park, Jaesung James
    • The Journal of Small Business Innovation
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    • v.20 no.3
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    • pp.49-68
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    • 2017
  • Platform finance is emerging as an alternative finance for SMEs by suggesting a new funding source based on a new technology named FinTech. The essence of this business is the adapting ICT challenges to the financial industry that can adequately reflect risk assessment using Big Data and effectively meet individual risk-return preference. Thus, this is evolving as an alternative to existing finance in the form of P2P loans for Micro Enterprises and supply-chain finance for SMEs that need more working capital. Platform finance in Korea, however, is still at an infant stage and requires policy support. This can be summarized as follows: "Participation of institutional investors and the public sector," meaning that public investors provide seed money for the private investors to crowd in for platform finance. "Negative system in financial regulations," with current regulations to be deferred for new projects, such as Sandbox in the UK. In addition, "Environment for generous use of data," allowing discretionary data sharing for new products," and "Spreading alternative investments," fostering platform finance products as alternative investments in the low interest-rate era.

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An Experimental Study on the Performance of Multi-Diameter Lateral for Riverbed Filtration (하상여과용 다직경 수평집수관의 효능에 대한 실험연구)

  • Bae, Gha-Ram;Kim, Seung-Hyun
    • Journal of Korean Society of Environmental Engineers
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    • v.34 no.5
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    • pp.359-364
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    • 2012
  • In order to prevent the decrease in well efficiencies due to friction in the axial flow in long, large-diameter laterals, a multi-diameter lateral was devised and tested through lab-scale sand-box experiments to assess its performance. In the experiment, three different production rates were applied over the multi-diameter and the three single-diameter laterals to obtain the hydraulic head distributions for each, which was used to assess the performance of the laterals. Results elucidated that the multi-diameter lateral reduced the material cost by more than a third, in comparison to the single-diameter lateral, while maintaining the production rate at higher than 93%, proving its superiority. Furthermore, results indicated that exit velocities exceeding 0.8 m/sec in horizontal wells tended to distort the hydraulic head distribution near the exit, providing evidence of its inefficiency.

Group Behavior Pattern Analysis with respect to Playing Loyalty among Blade & Sole Game Users (충성도에 따른 블레이드 앤 소울 게임의 사용자 그룹 행동 패턴 분석)

  • Chung, Ji-in;Song, Doo Heon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.10
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    • pp.1340-1346
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    • 2018
  • There have been researches on game continuance intention based on consumer behaviour theory of management science. Such macro access of computer game analysis might be insufficient to draw valuable results due to complex subsystem structure of recent computer games. In this paper, we choose 'Blade and Soul' game that was first published in 2012 and has been within top 20 MMORPG in Korea but known as a 'long time users' only game'among game players recently. Three user groups - long loyalty, concentrated, casual - are classified based on their play history and play time per day of Blade and Soul. The first survey with 222 subjects revealed that the real strength of the game was not the combat - Dungeon, Arena, Battleground competition - but very cohesive game community Blade and Soul has. Thus, we conduct another survey on the game community issues among 148 long time users (over 3 years playing history) and analyze their traits and behaviour patterns.

A Comparative Study on the Regulation-Free Special Zone and the Regional Special Development Zone (규제자유특구와 지역특화발전특구에 대한 비교 연구)

  • Choi, Ho-Sung;Kim, Jung-Dae
    • Journal of Digital Convergence
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    • v.17 no.2
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    • pp.31-36
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    • 2019
  • New technologies are being created and resulted as new types of fusion complex as the barrier between technology and industries are being broken and convergence is becoming more activated in the global economy of the era of fourth industrial revolution. Korea government is trying to foster innovative technologies for new technologies and new services to prepare for the fourth industrial revolution and gain global competitiveness, but many regulations make it difficult to verify and commercialize them. In response, the Korea government is pushing for the introduction of a regulation-free special zone system in which sandboxes are applied so that new technology and new service-based innovation projects can be freely commercialized through experiment and demonstration. This study aims to examine the limitations of the special zones for regional specialization development applied to the zones that are applied uniformly throughout the country and suggest ways for the deregulation special zone to be fostered as an empirical test bed based on new technologies and as a base for regional innovation.

Meltdown Threat Dynamic Detection Mechanism using Decision-Tree based Machine Learning Method (의사결정트리 기반 머신러닝 기법을 적용한 멜트다운 취약점 동적 탐지 메커니즘)

  • Lee, Jae-Kyu;Lee, Hyung-Woo
    • Journal of Convergence for Information Technology
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    • v.8 no.6
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    • pp.209-215
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    • 2018
  • In this paper, we propose a method to detect and block Meltdown malicious code which is increasing rapidly using dynamic sandbox tool. Although some patches are available for the vulnerability of Meltdown attack, patches are not applied intentionally due to the performance degradation of the system. Therefore, we propose a method to overcome the limitation of existing signature detection method by using machine learning method for infrastructures without active patches. First, to understand the principle of meltdown, we analyze operating system driving methods such as virtual memory, memory privilege check, pipelining and guessing execution, and CPU cache. And then, we extracted data by using Linux strace tool for detecting Meltdown malware. Finally, we implemented a decision tree based dynamic detection mechanism to identify the meltdown malicious code efficiently.

A Critical Review on Mobility Business and Government Regulations: Trends, Issues, and Conflict Management (Mobility 신산업 동향 및 쟁점, 그리고 정부의 역할 : O2O, 승차공유, 택배, 물류 분야의 전망 및 규제연구를 중심으로)

  • Hwang, Sungsoo;Shin, Yong-Ho
    • Informatization Policy
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    • v.26 no.2
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    • pp.3-23
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    • 2019
  • This review article summarizes the trends and issues around the mobility business and government regulations in Korea. Key issues identified involve unclear government regulations, conflict management between key stakeholders, platform labor, and regional conflicts. The study then offers an overview of the current government regulations on the mobility business and conflict management, along with some policy recommendations in the areas of linking conflict resolution efforts with the welfare safety net, and corporates' social responsibility for the sustainable ecosystem. Ultimately, an ecosystem is required for multiple ministries and stakeholders to participate in the process of improving the regulations, as well as a control tower (government agency) who plays the pivotal role as a coordinator.

Analysis of Fun Elements and User Preferences in Environment Adaptive Survival Games (환경 적응적 생존 게임의 재미 요소와 사용자 분석)

  • Song, Doo Heon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.3
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    • pp.305-310
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    • 2019
  • Survival horror games aim to seek cathartic psychological escapism from the framed fear or hostile environment. However, if the goal of the game playing is only "survival" against hostile environment, the motivation of such environment adaptive games may not be based on the framed fear. We may call such games as "environment adaptive survival games". In this paper, we analyze the contents of six such survival games that have large user groups in Steam platform based on the pilot survey. We extract 13 almost common fun elements that induce the fun of such games. An online user survey was conducted through multiple survival game cafe to investigate who play such games. There was no gender differences in playing time but females prefer constructing tools as a fun element and play puzzle and simulation games more than males. We found that survival games could be welcomed by female users under 30 years old if 'horror' element was minimized.

Malware Detection Technology Based on API Call Time Section Characteristics (API 호출 구간 특성 기반 악성코드 탐지 기술)

  • Kim, Dong-Yeob;Choi, Sang-Yong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.4
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    • pp.629-635
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    • 2022
  • Cyber threats are also increasing with recent social changes and the development of ICT technology. Malicious codes used in cyber threats are becoming more advanced and intelligent, such as analysis environment avoidance technology, concealment, and fileless distribution, to make analysis difficult. Machine learning technology is being used to effectively analyze these malicious codes, but a lot of effort is needed to increase the accuracy of classification. In this paper, we propose a malicious code detection technology based on API call interval characteristics to improve the classification performance of machine learning. The proposed technology uses API call characteristics for each section and entropy of binary to separate characteristic factors into sections based on the extraction malicious code and API call order of normal binary. It was verified that malicious code can be well analyzed using the support vector machine (SVM) algorithm for the extracted characteristic factors.