• KIPS Transactions on Software and Data Engineering
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• v.12 no.9
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• pp.419-430
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• 2023

Currently, NFTs have no dominant application except for the proof of ownership for digital content, and it also have small liquidity problem, which makes their price difficult to predict. Real estate usually has very high barriers to investment due to its high pricing. Real estate can be converted into NFTs and also divided into small value fungible tokens (FTs), and it can increase the the volume of the investor community due to more liquidity and better accessibility. In this document, we implement and design a system that allows ordinary users can invest on high priced real estate utilizing Black Litterman (BL) model-based Portfolio investment interface. To this end, we target a set of real estates pegged as collateral and issue NFT for the collateral using blockchain. We use oracle to get the current real estate information and to monitor varying real estate prices. After tokenizing real estate into NFTs, we divide the NFTs into easily accessible price FTs, thereby, we can lower prices and provide large liquidity with price volatility limited. In addition, we also implemented BL based asset portfolio interface for effective portfolio composition for investing in multiple of real estates with small investments. Using BL model, investors can fix the asset portfolio. We implemented the whole system using Solidity smart contracts on Flask web framework with public data portals as oracle interfaces.

• Journal of the Korea Society for Simulation
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• v.19 no.4
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• pp.151-159
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• 2010

Currently, by using the Internet, We can do varius things such as Web surfing, email, on-line shopping, stock trading on your home or office. However, as being out of the concept of security from the beginning, it is the big social issues that malicious user intrudes into the system through the network, on purpose to steal personal information or to paralyze system. In addition, network intrusion by ordinary people using network attack tools is bringing about big worries, so that the need for effective and powerful intrusion detection system becomes very important issue in our Internet environment. However, it is very difficult to prevent this attack perfectly. In this paper we proposed the algorithm for the detection of DoS attacks, and developed attack detection tools. Through learning in a normal state on Step 1, we calculate thresholds, the number of packets that are coming to each port, the median and the average utilization of each port on Step 2. And we propose values to determine how to attack detection on Step 3. By programing proposed attack detection algorithm and by testing the results, we can see that the difference between the median of packet mounts for unit interval and the average utilization of each port number is effective in detecting attacks. Also, without the need to look into the network data, we can easily be implemented by only using the number of packets to detect attacks.

• The Transactions of the Korea Information Processing Society
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• v.13 no.2
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• pp.34-40
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• 2024

Secret sharing is a cryptographic technique that involves dividing a secret or a piece of sensitive information into multiple shares or parts, which can significantly increase the confidentiality of a secret. There has been a lot of research on secret sharing for different contexts or situations. Tassa's conjunctive secret sharing method employs polynomial derivatives to facilitate hierarchical secret sharing. However, the use of derivatives introduces several limitations in hierarchical secret sharing. Firstly, only a single group of participants can be created at each level due to the shares being generated from a sole derivative. Secondly, the method can only reconstruct a secret through conjunction, thereby restricting the specification of arbitrary secret reconstruction conditions. Thirdly, Birkhoff interpolation is required, adding complexity compared to the more accessible Lagrange interpolation used in polynomial-based secret sharing. This paper introduces the multi-compartment secret sharing method as a generalization of the conjunctive hierarchical secret sharing. Our proposed method first encrypts a secret using external groups' shares and then generates internal shares for each group by embedding the encrypted secret value in a polynomial. While the polynomial can be reconstructed with the internal shares, the polynomial just provides the encrypted secret, requiring external shares for decryption. This approach enables the creation of multiple participant groups at a single level. It supports the implementation of arbitrary secret reconstruction conditions, as well as conjunction. Furthermore, the use of polynomials allows the application of Lagrange interpolation.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.29-39
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• 2021

As damages to individuals, private sectors, and businesses increase due to newly occurring cyber attacks, the underlying network security problem has emerged as a major problem in computer systems. Therefore, NIDS using machine learning and deep learning is being studied to improve the limitations that occur in the existing Network Intrusion Detection System. In this study, a deep learning-based NIDS model study is conducted using the Convolution Neural Network (CNN) algorithm. For the image classification-based CNN algorithm learning, a discrete algorithm for continuity variables was added in the preprocessing stage used previously, and the predicted variables were expressed in a linear relationship and converted into easy-to-interpret data. Finally, the network packet processed through the above process is mapped to a square matrix structure and converted into a pixel image. For the performance evaluation of the proposed model, NSL-KDD, a representative network packet data, was used, and accuracy, precision, recall, and f1-score were used as performance indicators. As a result of the experiment, the proposed model showed the highest performance with an accuracy of 85%, and the harmonic mean (F1-Score) of the R2L class with a small number of training samples was 71%, showing very good performance compared to other models.

• Smart Media Journal
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• v.13 no.4
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• pp.33-48
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• 2024

With the advent of 5G, characterized by Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communications (URLLC), and Massive Machine Type Communications (mMTC), efficient network management and service provision are becoming increasingly critical. This paper proposes a novel approach to address key challenges of 5G networks, namely ultra-high speed, ultra-low latency, and ultra-reliability, while dynamically optimizing network slicing and resource allocation using machine learning (ML) and deep learning (DL) techniques. The proposed methodology utilizes prediction models for network traffic and resource allocation, and employs Federated Learning (FL) techniques to simultaneously optimize network bandwidth, latency, and enhance privacy and security. Specifically, this paper extensively covers the implementation methods of various algorithms and models such as Random Forest and LSTM, thereby presenting methodologies for the automation and intelligence of 5G network operations. Finally, the performance enhancement effects achievable by applying ML and DL to 5G networks are validated through performance evaluation and analysis, and solutions for network slicing and resource management optimization are proposed for various industrial applications.

• Vending industry
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• v.3 no.1 s.9
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• pp.64-69
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• 2004

고수익을 미끼로 한 자판기 분양사기가 최근 급증하고 있어 큰 문제가 되고 있다. 무조건 자판기 수익성만을 과대포장하여 투자자들의 `묻지마` 투자를 유도한 후 돈만 챙기고 사업에서 손을 떼어버리는 사기행각은 그 피해대상이 대부분 서민이라는 점에서 문제의 심각성을 더한다. 자판기가 불법 자금 모집을 통해 사기의 대상으로 외부 인식이 악화되어 버린다면 자판기 산업의 입지 역시 크게 좁혀 질 수 밖에 없다. 자판기 품목에 있어서는 불법자금모집의 대표적인 사례가 되는 경우는 확정수익을 보장한다며 투자자를 모집하는 경우이다. 그 후 일정기간동안 수익을 보장하며 투자자를 안심시킨 다음 일순간 돌변하여 자금을 챙겨 잠적을 하는 수순을 밝는다. 선의의 투자자들은 이럴 경우 엄청난 피해를 입게 되는 게 보통이다. 대개의 경우 기계 1~2대의 소량물량이 아닌 5대~l0대 단위의 투자를 유도하기 때문이다. 이제는 자판기 산업에 있어 이러한 악성 불법자금 모집업체들이 근절되어야 한다. 이 불법 사기행각의 대상이 더 이상 자판기 분야에 발을 붙이지 못하도록 하는 제도적 비책이 시급히 강구 되어야 한다. 이러한 가운데 금융감독원 비은행감독국 비제도금융조사팀에서는 올들어 지난 9월말까지 고수익을 미끼로 투자자금을 모집하다가 금감원에 적발된 유사 금융업체 85개사 명단을 사법당국에 통보했다. 불법자금모집 업체들이 투자자들을 유혹하기위해 미끼로 내세운 사업을 종류별로 보면 자판기, 게임기, 컴퓨터단말기 등 특정상품 운영권 제공이 29개사로 가장 많고, 사이버 쇼핑몰 및 인터넷사업(18개사), 납골당 등 부동산 투자(12개사), 영화등 문화 및 레저사업(10개사), 영화문화 및 레저산업(10개사), 벤처투자사(9개사) 등이었다. 자판기 분야에 있어서는 주로 성인용품자판기, 복권자판기 등의 품목이 불법자금 모집의 집중 타킷이 되었다. 금감원은 최근들어 유사 금융업체의 자금모집이 전문가도 속을 정도로 지능화하고 있다며 개인투자자들이 피해를 예방할 수 있는 불법업체 식별법을 금감원 인터넷 사이트(www.fss.or.kr)에 게시했다. 금감원은 특히 사업현황에 대해 지나치게 보안을 유지하는 업체, 1백$\%$이상의 터무니없는 고수익을 보장한다고 광고하는 업체, 제도권 금융회사의 지급보증을 강조하는 업체에 대해서는 투자에 앞서 금감원이나 업종 관련 정부당국에 사실여부를 확인해 보고 투자여부를 결정하라고 통보했다. 아울러 금감원은 금융소비자들이나 자판기 업계에서 불법자금 모집업체를 발견하여 전화(02-3786-8155~9)나 인터넷소비자 보호센터와 경찰에 신고해줄 것을 요청했다. 이제는 산업계도 더 이상 자판기 분야의 불법자금업체를 방치하지 말고 적극적인 금감원 신고를 통해 시장을 정화할 수 있게 해야 한다. 미꾸라지 한두마리가 온 개천 물 다 흐려놓는 이치처럼 자판기불법자금업체들로 인해 전체 산업에 미치는 영향이 실로 심각함을 인식해야 할 때이다. 금호 산업정보에서는 산업계에서 불법자금업체 근절에 많은 관심을 가질 수 있게 하기 위해 금융감독원 비은행감독국 비제도금융조사팀에서 배포한 $\ulcorner$불법자금 모집업체 고수익 보장 유혹에 주의$\lrcorner$ 에 대한 보도자료의 세부내용을 게재한다.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.31-40
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• 2021

Blockchain technology is also actively studied in the real estate transaction field, and real estate transactions have various ways. In this paper, we propose a model that simplifies the authentication procedure of auction systems using Ethereum's Ether to solve the problem of offline court auctions. The proposed model is written in Ethereum's Solidity language, the court registers the sale date and the sale date with the DApp browser, and the bidder accesses the address of the individual's wallet created through Metamask's private key. The bidder then selects the desired sale and enters the bid price amount to participate in the auction. The bidder's record of the highest bid price for the sale he wants is written on the Ethereum test network as a smart contract. and creates a block. Finally, smart contracts written on the network are distributed by the court auction manager to all nodes in the blockchain network, and each node in the blockchain network can be viewed and contract verified. As a result of analyzing the smart contracts of the proposed model and the performance of the system, there are fees incurred due to the creation and use of Ether on platforms using Ethereum, and participation. Ether's changes in value affect the price of the sale, resulting in inconsistent fees in smart contracts each time. However, in future work, we issue our own tokens to solve the market volatility problem and commission problem with the value change of Ether, and refine complex court auction systems.

• Journal of Hospice and Palliative Care
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• v.1 no.1
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• pp.39-46
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• 1998

Purpose : Hospice Care is considered as one of the most perfect solutions for the problems brought up as the number of chronically ill patients are increasing rapidly and most of social welfare oriented countries are seeking the quality of life. Our former studies(1996, 1997) were to find out the current status of the hospice care in Korea by surveying terminally ill patients and their family members as well as medical professionals. The former study was also to conduct the operation research by developing an information service system for training of hospice care teams and volunteers, and hospice patients management. The purpose of this study was that hospice information service system was tested by home visiting hospice care through visiting nurses. Methods : From October 1, 1997 to March 31, 1998, Twenty six terminal cancer patients were included in this study from Seoul National University Hospital and other hospital. Databases and homepage, hospice information service system were designed and developed for the information needed for the hospice care before this study by our research team and this services were available through the internet. Visiting nurses were trained about this system and they visited the patients with PC notebook and provided them hospice care with hospice information system. They collected physical, psychiatric, social data of the subjects at the first visit and during hospice care at home. Results : Sixteen subjects(61.5%) died during the study and the mean survival was 20.7 days. Anorexia(96.2%), immobility(88.5%) and pain(84.6%) were the major symptom in the 26 subjects, Altered nutrition(26.1%) and pain(12.4%) were the most frequent diagnoses in 226 nursing diagnoses of the subjects. Families understood and demanded the hospice care more than patients. And most patients and families didn't demand spiritual or social care. Conclusion : Through this demonstration study, it was found that we have to provide the information of pain management and nutritional support for patients by the nurses and visiting hospice nurse. The information service system needs to be upgraded with information and manpower of spiritual and social care according to the findings.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.560-564
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• 2007

Korea Basic Science Institute(KBSI) has three general electron microscopes including High Voltage Electron Microscope(HVEM) which is the only one in Korea. Observed images through an electron microscope are what they are tilted by each step and saved, offering the more better circumstances for observers, a reconstruction to 3D could be a essential process. In this process, a warping method decreases distortions maximumly of avoided parts of a camera's focus. All these image treatment processes and 3D reconstruction processes are based on an accompaniment of a highly efficient computer, a number of Grid Node Personal computers share this process in a short time and dispose of it. Grid Node Personal computers' purpose is to make an owner can share different each other and various computing resources efficiently and also Grid Node Personal computers is applying to solve problems like a role scheduling needed for a constructing system, a resource management, a security, a capacity measurement, a condition monitoring and so on. Grid Node Personal computers accomplish roles of a highly efficient computer that general individuals felt hard to use, moreover, a image treatment using the warping method becomes a foundation for reconstructing to more closer shape with an real object of observation. Construction of the electron microscope volume 랜더링 system based on Grid Node Personal computer through the warping process can offer more convenient and speedy experiment circumstances to observers, and makes them meet with experiment outcome that is similar to real shapes and is easy to understand.