• Title/Summary/Keyword: 가상 화폐

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2019 국내·외 주요 및 신규 랜섬웨어 동향 분석

  • Park, Eunhu;Kim, Soram;Lee, Sehun;Kim, Jongsung
    • Review of KIISC
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    • v.29 no.6
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    • pp.39-48
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    • 2019
  • 랜섬웨어(Ransomware)는 몸값(Ransom)과 소프트웨어(Software)의 합성어로 사용자 시스템을 장악하여 중요 문서 및 파일을 암호화하고 암호화된 파일의 복호화를 대가로 가상 화폐를 요구한다. 랜섬웨어로 인한 피해는 매년 증가하고 있으며 새로운 랜섬웨어의 등장과 변종의 출현이 빈번하다. 이에 본 논문은 2019년에 등장하거나 영향을 주고 있는 랜섬웨어에 대한 유포방법, 유포 대상, 알고리즘 사용 현황을 밝히고 국내 외 피해 사례를 소개한다. 그리고 분기 별로 감염율 상위 5개의 랜섬웨어를 살펴보고 평균 요구 금액에 대해 기술한다. 마지막으로 주요 및 신규 랜섬웨어 대해 유포 경로, 특징, 암호화 알고리즘, 복호화 요소 및 복호화 도구에 대해서는 표로 요약하며 자세히 서술한다.

Development of smart contract-based raw material distribution price tracking application (스마트 컨트랙트 기반 원자재 유통 가격 추적 어플리케이션 연구)

  • Choi, Jiho;Noh, Yoongdoo;Kang, Hongcheol;Yoo, Minjae;Won, Yoojae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.78-80
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    • 2017
  • 2016년 말, 조류인플루엔자 확산에 의해 달걀 생산량이 감소하였고, 가격은 폭등하였다. 그러나 한 가지 납득할 수 없는 것은, 비록 달걀 생산량이 감소하였을지라도 전체적인 생산 비율에서 따져본다면 가격이 폭등할 만큼은 아니라는 것이다. 소비자는 유통 과정에서 벌어지는 일들에 대한 의문점이 있을 수 있으며 알 권리가 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 거래의 투명성을 보장하는 블록체인 플랫폼에서 이더리움 가상화폐 및 스마트 컨트랙트를 사용하여 거래할 것을 제안하고자 한다. 블록체인을 활용하면 거래 내역이 모두에게 공개되기 때문에, 소비자는 이 시스템으로 하여금 상품의 가격이 각각의 유통 단계를 거치면서 얼마나 비싸지는지를 확인할 수 있다. 이로 인해 도 소매업자들이 폭리를 취하는 것 역시 줄일 수 있다.

A Survey on Hyperledger Fabric Technologies (하이퍼레저 패브릭의 기술 동향 조사)

  • Kim, Hanjun;Choi, Eunmi
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.121-124
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    • 2019
  • 가상 화폐 분야의 핵심 기술로 소개된 블록체인(Blockcahin) 기술은 4차 산업혁명에서 중심이 되는 기술로 주목받고 있다. 다양한 산업의 서비스에서 사용하기에는 성능적인 부분에서 고려해야 할 부분이 있다. 본 논문에서는 허가형(permissioned) 블록체인에서 현재 가장 활발하게 기술 확산을 하고 있는 하이퍼레저 패프릭(Hyperledger Fabric)을 중심으로 0.6버전부터 1.2버전까지 관련된 연구들을 조사하였다. 특히 주요한 품질 속성인 성능을 향상하기 위한 Hyperledger Fabric의 기술 동향에 대하여 연구 활동 내용들을 비교 분석하였다.

Constructing Effective Code Analyzer to Measure the Quality of Blockchain Code based on Go Language (Go 언어 기반 블록체인 코드의 품질 검증을 위한 효율적인 정적분석기 개발)

  • An, Hyun-sik;Park, Jihoon;Park, Bokyung;Kim, R. Young-chul
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.694-696
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    • 2019
  • 현재 4차 산업 혁명과 가상화폐에 대한 전 세계적인 관심으로 블록체인 시스템이 급부상하고 있다. 현재 구현중심인 국내외 블록체인 시장에서 무수히 많은 블록체인 기반 플랫폼들이 등장과 함께 오류가 발생하고 있다. 하지만 블록체인 시스템의 신뢰성, 확장성, 안정성 등에 대한 검증은 누구도 하고 있지 않다. 이런 문제 해결을 위해 Go language로 구성된 블록체인 코드를 분석할 수 있는 정적분석기를 통한 품질 가시화 방법을 제안한다. 이를 통하여 Blockchain Code의 내부 복잡도를 식별하고자한다. 즉, 코드 내부를 가시화하고 개발자가 보다 쉽게 코드를 유지보수 할 수 있으며 블록체인 시스템의 소프트웨어 공학적인 고품질화가 가능하다.

Recovery Phrase Management Scheme for Public Blockchain Wallets based on OTP (공용 블록체인 지갑을 위한 OTP 기반 계정 복구 문자열 관리 체계)

  • Song, Seounghan;Kim, Suntae;Shin, Jung-Hoon;Lee, Jeong-Hyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.1
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    • pp.35-44
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    • 2020
  • The growing use of public blockchain-based virtual cryptocurrency calls for secure management of blockchain account information managed through cryptocurrency wallet programs. The previously proposed wallet program has high security in terms of managing an account's private key, but low security in managing an account's recovery phrase. Therefore, in this paper, we propose a safe management system of blockchain account recovery string based on the new user authentication method using the user's mobile device information and OTP technique to overcome the problem of the existing account recovery string management method. It also conducts an analysis of the proposed blockchain account recovery string management system based on the expected behavior scenario.

Topic Analysis Using Big Data Related to 'Blockchain usage': Focused on Newspaper Articles ('블록체인 활용' 관련 빅데이터를 활용한 토픽 분석: 신문기사를 중심으로)

  • Kim, Sungae;Jun, Soojin
    • Journal of Industrial Convergence
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    • v.18 no.1
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    • pp.73-78
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    • 2020
  • To analyze the main topics related to the use of blockchain technology, the Topic Modeling Technique was applied to the 'Blockchain Technology Utilization' big data shown in newspaper articles. To this end, from 2013 to 2019, when newspaper articles on the use of blockchain technology first appeared, the topics were extracted from 21 newspapers and analyzed by time to 15,537 articles. As a result of the analysis, articles related to the utilization of blockchain technology have increased exponentially since 2015 and focused on IT_science and economics. Key words related to cryptocurrency, bitcoin and virtual currency were weighted high, although they differed depending on time. Blockchain technology, which had focused on financial transactions, gradually expanded to big data, Internet of Things and artificial intelligence. As a result, changes in corporate topics were also made together to expand into various fields at banks for financial transactions, focusing on large and global companies. The study showed how these topics were changing, along with the main topics in newspaper articles related to the use of blockchain technology.

A Study on the Progress of Pig Butchering Crimes Using Cryptocurrency (암호화폐를 이용한 "돼지도살(Pig Butchering)" 사기범죄 진행과정에 대한 연구)

  • HyeJin Song
    • Journal of the Society of Disaster Information
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    • v.20 no.3
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    • pp.663-671
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    • 2024
  • Purpose: The purpose of this study is to examine the risks and criminal progress of pig murder fraud crimes in the absence of related research and statistics amid a surge in pig murder fraud damage in Korea, and to approach the methods, problems, and countermeasures that can be prevented in Korea through foreign cases. Method: In order to classify the types of pig murder fraud crimes, the progress was analyzed through related reports and statistics, and various damage cases. Result: The crime of pig murder fraud can be seen as an organized crime that organically combines simple romance scams, investment fraud, and human trafficking. In the case of victims, unlike simple fraud, psychological problems such as suicide impulse and panic disorder were found, and in the case of cryptocurrency acquired through fraud, a path was found to flow back into the criminal organization through money laundering. Conclusion: In the case of pig murder fraud crimes that have been detected as a danger worldwide, the scale will be even wider. Therefore, various institutional supplements and policies should be prepared through crime type analysis in Korea for crime prevention and countermeasures.

Effect of Education about Blockchain Technology on Trust, Security, and Technology Acceptance Model of Virtual Assets (블록체인 기술에 대한 교육이 가상자산에 대한 신뢰, 보안성 및 기술수용모형에 미치는 영향)

  • Oh, SoYun;Han, KwangHee
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.675-683
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    • 2022
  • Blockchain, which is the basis of virtual assets such as cryptocurrency, is receiving great attention as one of the cornerstone technologies of the 4th industrial revolution. Blockchain is a technology that can fundamentally change our lives not only in finance, but also in politics, logistics, and culture. However, it shows lower-than-expected usability because it is complicated to learn and is continuously being developed. In this study, we tried to investigate whether the Technology Acceptance Model(TAM) of virtual assets can be changed through education on the underlying technology, blockchain. A video-based online experiment was conducted with a total of 103 participants and examined how the type of training(positive, negative) and measurement timing(before, after) affect perceived usefulness, perceived ease of use, acceptance, which are TAM variables, and trust and security, which are related to blockchain characteristics. As a result of the experiment, interactions were found in all dependent variables according to the type of education and measurement timing. Specifically, groups that received negative education had no difference in all variables before and after, but it was found that groups that received positive education showed an increase afterwards. Through this, it can be seen that the effect of education based on the anchoring effect is also shown in the intention to use virtual assets using block chain technology, suggesting that the intention to use blockchain related technology can be increased through positive education.

Estimating the Stock Value of Woraksan National Park Using Turnbull Distribution-Free Model (Turnbull 분포무관모형을 이용한 월악산국립공원의 자산가치 평가)

  • Han, Sang-Yoel
    • Journal of Korean Society of Forest Science
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    • v.96 no.3
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    • pp.283-289
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    • 2007
  • Benefit-cost analysis is a useful tool for organizing information on the relative value of alternative public investments like national park preservation projects. When the value of all significant benefits and costs can be expressed in monetary terms, the net value (benefits minus costs) of the alternatives under consideration can be computed and used to identify the alternative that yields the greatest increase in public welfare. However, since goods and services of national parks are not commonly bought or sold in the marketplace, it can be difficult to express the outputs of a national park preservation project in monetary terms. In this case the dichotomous choice contingent valuation is employed to elicit the public benefit value. In this paper, a distribution-free approach, Turnbull empirical distribution model, is employed to analysis the benefit value of Woraksan National Park. The result is shown that annual use and preservation values of Woraksan National Park are estimated 6.5 and l37.4 billion won. Also, flow and stock values are estimated 143.9 and 3,021.7 billion won, respectively.

Classification of fun elements in metaverse content (메타버스 콘텐츠의 재미 요소 분류)

  • Lee, Jun-Suk;Rhee, Dea-Woong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.8
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    • pp.1148-1157
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    • 2022
  • In 2019, COVID-19 changed many people's lives. Among them, metaverse supports non-face-to-face services through various methods, replacing daily tasks. This phenomenon was created and formed like a culture due to the prolonged COVID-19. In this paper, the fun elements used in the existing game were organized to find out the fun factors of the metaverse, and the items and contents were reclassified according to the metaverse with five experts. Classification was classified using reproducibility, sensory fun [graphic, auditory, text, manipulation, empathy, play, perspective], challenging fun [absorbedness, challenging, discovery, thrill, reward, problem-solving], imaginative fun [new story, love, freedom, agency, expectation, change], social fun[rules, competition, social behavior, status, cooperation, participation, exchange, belonging, currency transaction], interactive fun[decision making, communication sharing, hardware, empathy, nurturing, autonomy], realistic fun[sense of unity in reality, easy of learning, adaptation, intellectual problems solving, pattern recognition, sense of reality, community], and creative fun[application, creation, customizing, virtual world].