• The KIPS Transactions:PartC
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• v.11C no.5
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• pp.577-584
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• 2004

Recently many company has been cracked by crackers information security and everyday new computer virus come out. so e-trade partners should prevent the disasters. A few studies researched e-trade securities broadly but the new trend in information security division especially focused on electronic payment, EDI, Transportation, Contracts, Insurances and that of subjects have been researched through interdisciplinary evolution. Our research e-trade security on three part, First system attack, second is data attack and third is business attack. the attacks have theirs own solution, so e-trade company use this solution timely and powerfully. It is the most important thing to prepare the cracking with securities system. also manager should catch recent hacking technologies. The research results propose that e-trade firms should use information security policies and securities systems that including H/W and S/W. therefore manager's security mind is very important and also using electronic commerce securities device and should be considered exploiting solutions by each special usage according to e-trade company' environments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.288-295
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• 2002

It's about time we had to think an alternative to recover our insufficient fishery market caused by IMF locally as well as the fishery agreement on Japan and China. It's essential that we have to build up the foundation of information-oriented fishery market In order to improve the infrustructure of the market like developed countries. In this paper We present digital data communication network to exchange information for fishery and safety between fishing ship and coast station in cheeper communication fee using SSB(Sing Side Band) in HF(High Frequency) band.

• The KIPS Transactions:PartC
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• v.18C no.4
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• pp.243-250
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• 2011

Nowadays, the traffic type and behavior are extremely diverse due to the appearance of various services on Internet, which makes the need of traffic identification important for efficient operation and management of network. In recent years traffic identification methodology using statistical features of flow has been broadly studied. We also proposed a traffic identification methodology using payload size distribution in our previous work, which has a problem of low completeness. In this paper, we improved the completeness by solving the PSD conflict using IP and port. And we improved the accuracy by changing the distance measurement between flow and statistic signature from vector distance to per-packet distance. The feasibility of our methodology was proved via experimental evaluation on our campus network.

• Convergence Security Journal
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• v.23 no.5
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• pp.209-221
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• 2023

Due to the rapid spread of the COVID-19 virus in December 2019, the working environment was rapidly converted to telecommuting. However, since the defense industry is an organization that handles technology related to the military, the network separation policy is applied, so there are many restrictions on the application of telecommuting. Telecommuting is a global change and an urgent task considering the rapidly changing environment in the future. Currently, in order for defense companies to implement telecommuting, VPN, VDI, and network interlocking systems must be applied as essential elements. Eventually, some contact points will inevitably occur, which will increase security vulnerabilities, and strong security management is important. Therefore, in this paper, attack types are selected and threats are analyzed based on the attack tactics of the MITER ATT&CK Framework, which is periodically announced by MITER in the US to systematically detect and respond to cyber attacks. Then, by applying STRIDE threat modeling, security threats are classified and specific security requirements are presented.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2003.11a
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• pp.23-40
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• 2003

초고속인터넷 접속서비스 시장이 성숙 단계에 접어듬으로써 성장세는 급격히 둔화되고 경쟁환경은 심화되는 과정에서 통신사업자들이 기존의 신규가입자 유치 위주의 정책에서 벗어나 초고속인터넷 가입자 인프라를 기반으로 새로운 부가 서비스 및 차별화 된 서비스의 개발을 통해 가입자 확대 및 ARPU(Average Revenue Per Unit)를 중대 시킬 수 있는 수익원 개발이 절실하다. 이러한 상황하에서 통신방송 융합 서비스는 통신사업자에게 기회와 위협이라는 상반된 현상으로 다가오고 있다. TV-based VOD 서비스는 보다 양질의 멀티미디어 서비스를 원하는 고객의 수요와 신규 고객을 유치하고 가입자를 Lock-in 시키며, 타 통신 사업자의 고객을 자사 고객으로 전환시키고자 하는 차별화 전략의 일환으로 도입되기 시작하였고, 또한 ARPU를 증대 시키고 다양한 수익원 개발의 일환으로 인터넷 접속서비스 외에 부가가치를 창출 할 수 있는 Killer Service로서 주목을 받고 있다. TV VOD 사업이 성공적으로 국내 시장에 정착될 경우, 통신사업자에게는 여러 형태의 수익원 발굴이 가능할 것으로 예상된다. 즉 가입비, 월 이용료, 부가 사용료 등과 같은 포괄적인 형태의 가입비가 주된 수익원이 될 것이이며, pay-per-view(PPV) 형태의 이용료 역시 주된 수익원이 될 것이다. 이 외에도 셋톱박스, 홈게이트웨이/서버 등과 같은 단말기의 임대와 판매를 통한 수익 창출방안과 다른 서비스들과 마찬가지로 광고도 중요한 수익원천으로 활용 할 수 있을 것이며 또한 미디어업체 또는 CP(contents provider)를 대상으로, 보안, 인증, 과금, 결제, 회원 관리, 이용정보 제공 서비스 등도 사업자의 수익원으로 활용할 이 있을 것이다. TV-based VOD 서비스는 망 진화에 따른 차세대 초고속인터넷 서비스 기술인 VDSL이나 Advanced 케이블모뎀을 이용 DVD 급 고화질의 TV-based VOD 서비스가 시작되면서 ARPU를 증대 시키고 다양한 수익원 개발의 일환으로 인터넷 접속서비스 외에 부가가치를 창출 할 수 있는 Killer Service로서 VOD서비스가 주목을 받고 있다. TV-based VOD 서비스는 가입자망의 진화 와 밀접하게 연관되어 전개되는 서비스로 Post-ADSL에 대한 예측과 VOD에 서비스에 대한 설문조사 결과를 토대로 하여 예측 한 바에 의하면 Post-ADSL 가입자는 2003년 153만명에서 2004년 444만으로 증가하고 2006년 987만 명에 이를 것으로 전망되고, VOD서비스 가입의향도 16%에서 2006년 34% 까지 증가하는 것으로 나타났다. 따라서 VOD서비스 가입자는 2003년 24만 명에서 2004년 98만으로 증가하고 2006년 335만 명으로 증가하는 것으로 예측되었다.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.94-106
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• 2022

In order to increase timber self-sufficiency, Korea's 6th Basic Forest Plan aims to increase the density of forest roads to 12.8 m ha^-1 by 2037. However, due to rapid re-forestation, current management infrastructure is insufficient, with just 4.8 m ha^-1 of forest roads in 2017. This is partly due to time and cost limitations on the process of forest road feasibility evaluation, which considers factors such as topography and forest conditions. To solve this problem, we propose an eco-friendly and efficient forest road network planning method using a geographic information system (GIS), which can evaluate a potential road site remotely based on spatial information. To facilitate such planning, this study identifies forest road construction priorities that can be evaluated using spatial information, such as topography, forest type and forest disasters. A method of predicting the optimal route to connect a forest road with existing roads is also derived. Overlapping analysis was performed using GIS-MCE (which combines GIS with multi-criteria evaluation), targeting the areas of Cheongsong-gun and Buk-gu, Pohang-si, which have a low forest-road density. Each factor affecting the suitability of a proposed new forest road site was assigned a cost, creating a cost surface that facilitates prioritization for each forest type. The forest path's optimal route was then derived using least-cost path analysis. The results of this process were 30 forestry site recommendations in Cheongsong-gun and one in Buk-gu, Pohang-si; this would increase forest road density for the managed forest sites in Cheongsong-gun from 1.58 m ha^-1 to 2.55 m ha^-1. This evaluation method can contribute to the policy of increasing timber self-sufficiency by providing clear guidelines for selecting forest road construction sites and predicting optimal connections to the existing road network.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1723-1735
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• 2022

Landslides are one of the most prevalent natural disasters, threating both humans and property. Also landslides can cause damage at the national level, so effective prediction and prevention are essential. Research to produce a landslide susceptibility map with high accuracy is steadily being conducted, and various models have been applied to landslide susceptibility analysis. Pixel-based machine learning models such as frequency ratio models, logistic regression models, ensembles models, and Artificial Neural Networks have been mainly applied. Recent studies have shown that the kernel-based convolutional neural network (CNN) technique is effective and that the spatial characteristics of input data have a significant effect on the accuracy of landslide susceptibility mapping. For this reason, the purpose of this study is to analyze landslide vulnerability using a pixel-based deep neural network model and a patch-based convolutional neural network model. The research area was set up in Gangwon-do, including Inje, Gangneung, and Pyeongchang, where landslides occurred frequently and damaged. Landslide-related factors include slope, curvature, stream power index (SPI), topographic wetness index (TWI), topographic position index (TPI), timber diameter, timber age, lithology, land use, soil depth, soil parent material, lineament density, fault density, normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) were used. Landslide-related factors were built into a spatial database through data preprocessing, and landslide susceptibility map was predicted using deep neural network (DNN) and CNN models. The model and landslide susceptibility map were verified through average precision (AP) and root mean square errors (RMSE), and as a result of the verification, the patch-based CNN model showed 3.4% improved performance compared to the pixel-based DNN model. The results of this study can be used to predict landslides and are expected to serve as a scientific basis for establishing land use policies and landslide management policies.

• Korean Security Journal
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• no.62
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• pp.35-63
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• 2020

As the frequency and intensity of catastrophic disasters increase, there is widespread public sentiment that government capacity for disaster response and recovery is fundamentally limited, and that the involvement of civil society and the private sector is ever more vital. That is, in order to strengthen national disaster response capacity, governments need to build disaster systems that are more participatory and function through the channels of civil society, rather than continuing themselves to bear sole responsibility for these "wicked problems." With the advancement of smart mobile technology and social media, government and society as a whole have been called upon to apply these new information and communication technologies to address the current shortcomings of government-led disaster management. As illustrated in such catastrophic disasters as the 2011 Tohoku earthquake and tsunami in Japan, the 2010 Haitian earthquake, and Hurricane Katrina in the United States in 2005, the realization of participatory potential of smart technologies for better disaster response has enabled citizen participation via new smart technologies during disasters and resulted in positive impact on the management of such disasters. In this context, this study focuses on the South Korean context, and aims to analyze Korean government officials' readiness for public participation using smart technologies. On this basis, it aims to offer policy suggestions aimed at promoting smart technology-enabled citizen participation. For this purpose, it proposes a particular model, termed SMART (System, Motivation, Ability, Response, and Technology).

• Journal of Digital Convergence
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• v.10 no.9
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• pp.1-13
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• 2012

This study aims to analyze actual conditions of the present national defense information network operation, the structure and management of the system, communication lines, security equipments for the lines, the management of network and software, stored data and transferred data and even general vulnerable factors of our army tactical C4I system. Out of them, by carrying out an extensive analysis of the army tactical C4I system, likely to be the core of future information warfare, this study suggested plans adaptive to better information security, based on the vulnerable factors provided. Firstly, by suggesting various information security factor technologies, such as VPN (virtual private network), IPDS (intrusion prevention & detection system) and firewall system against virus and malicious software as well as security operation systems and validation programs, this study provided plans to improve the network, hardware (computer security), communication lines (communication security). Secondly, to prepare against hacking warfare which has been a social issue recently, this study suggested plans to establish countermeasures to increase the efficiency of the army tactical C4I system by investigating possible threats through an analysis of hacking techniques. Thirdly, to establish a more rational and efficient national defense information security system, this study provided a foundation by suggesting several priority factors, such as information security-related institutions and regulations and organization alignment and supplementation. On the basis of the results above, this study came to the following conclusion. To establish a successful information security system, it is essential to compose and operate an efficient 'Integrated Security System' that can detect and promptly cope with intrusion behaviors in real time through various different-type security systems and sustain the component information properly by analyzing intrusion-related information.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.47-65
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• 2023

As stakeholder demands and sustainable finance grow, ESG management and ESG evaluation are becoming important. SMEs should also prepare for the trends of ESG rating practices that affects supply chain management and financial transactions. However, SMEs have no choice but to focus on survival first, so there are restrictions on putting into ESG management. In addition, there is a lack of research on the legitimacy of ESG management by SMEs, and volatility in ESG evaluation systems and rating grades is also increasing. Accordingly, it is necessary to review ESG evaluation trends and practical guidelines along with the review of previous studies. As a result of the exploratory study, SMEs need to implement ESG management and make efforts to specialize in ESG related new businesses under conditions in which their survival base is guaranteed in terms of implementation strategies. In addition, it is necessary to focus on the strategic use of various evaluation results along with accumulating information favorable for ESG evaluation through organizational learning and software management. The implications of this study are that various studies such as the classification criteria for SMEs and the relationship between ESG evaluation grades and long-term survival rates are needed in ESG evaluation of SMEs. At the government policy level, it is time to consider the ESG evaluation system exclusively for SMEs so that ESG management can be implemented and ESG evaluation at different levels by industry and size.