• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.908-915
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• 2023

Purpose: The purpose of this study is to examine the types of fraudulent crimes among various crimes taking place during NFT transactions, and to approach institutional problems caused by crime types analysis and crackdown methods and legal limitations. Method: IIn order to classify the types of fraudulent crimes that appear in NFT transactions, the crime types were analyzed through the results of previous studies and cases of current incidents. Result: Most of the crimes that are taking place through NFTs are various types of fraudulent crimes such as rug pools, thefts, personal information theft fraud, and pig murder. Therefore, these types were classified and various damage cases were also analyzed. It is a matter of copyright. Conclusion: Currently, the financial problems caused by the occurrence of fraudulent crimes in NFTs worldwide are the most worrisome, and the scale will be even greater as the market grows in the future. Therefore, in Korea, various institutional supplements and policies should be prepared through analysis of crime types that can affect crime prevention and investigation and arrest activities.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.600-608
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• 2022

Purpose: The purpose of this study is to examine the types of crimes taking place using NFT in P2E games, and to devise measures to prevent crimes and legal sanctions between the government and companies. Method: In order to classify crime types in the metaverse, crime types were analyzed based on the results of previous studies and current incidents. Results: Most of the crimes taking place through NFTs in P2E games are hacking, money laundering, and copyright issues. Although games are regulated in Korea, these are crimes that can occur if game regulations are loosened in the future. Therefore, crime types were classified into hacking, money laundering, tax evasion, copyright issues, and game speculation, and various cases of damage have already occurred in foreign countries. Conclusion: Currently, no crimes are occurring in Korea due to game regulations, but as seen in foreign cases, large amounts of hacking and money laundering using NFTs are taking place in Korea. this will have to be provided

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.218-227
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• 2022

Purpose: In the case of cavity discovered by ground penetrating radar exploration, it is necessary to accurately predict the filling amount in the cavity in advance, fill the cavity sufficiently and exert strength to ensure stability and prevent ground subsidence. Method: The cavity waveform analysis method by GPR exploration and the method using the cavity shape imaging equipment were performed to measure the cavity shape with irregular size and shape of the actual cavity, and the amount of cavity filling of the injection material was calculated during rapid restoration. Result: The expected filling amount was presented by analyzing the correlation between the cavity size and the filling amount of injection material according to the cavity scale and soil depth through the method by GPR exploration and the cavity scale calculation using the cavity shaping equipment. Conclusion: The cavity scale measured by the cavity imaging equipment was found to be in the range of 20% to 40% of the cavity scale by GPR exploration. In addition, the filling amount of injection material compared to the cavity scale predicted by GPR exploration was in the range of about 60% to 140%, and the filling amount of the injection material compared to the cavity size by the cavity shaping equipment was confirmed to be about 260% to 320 Purpose: The purpose of this study is to examine the types of crimes taking place in the metaverse, and to establish a crime prevention strategy and find a legal deterrent against it. Method: In order to classify crime types in the metaverse, crime types were analyzed based on the results of previous studies and current incidents. Result: Most of the crimes taking place in the metaverse are done in games such as Roblox or Zeppetto. Most of the game users were teenagers. Looking at the types, there are many teens for sexual crimes, violent crimes, and defamation, but professional criminals are often included in copyright infringement, money laundering using virtual currency, and fraud. Conclusion: Since the types of crimes in the metaverse are diverse, various institutional supplementary mechanisms such as establishment of police crime prevention strategies, legal regulations, and law revisions will have to be prepared.

• Journal of the Korean Data and Information Science Society
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• v.26 no.5
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• pp.1097-1104
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• 2015

Rapid social and economic growth has brought positive results. At the same time, due to the increase in crime, crime prevention is important. There are many papers that analyze crime trends and crime type. Based on this, there are studies to ensure the safety of people. The study calculated the risk for the crime. it is necessary to exert a great effect on crime prevention alternatives. This paper uses crime data provided from San Francisco and victims data provided from FBI. And, it proposes the crime risk calculation. By analyzing the type of user, risk degree is given different weights according to the user, and assess the risk of crime.

• KIISE Transactions on Computing Practices
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• v.22 no.9
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• pp.455-460
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• 2016

Recently, with more severe types felonies such as robbery and sexual violence, the importance of crime prediction and prevention is emphasized. For accurate and prompt crime prediction and prevention, both a classification model of crime with high accuracy based on past criminal records and well-designed system interface are required. However previous studies on the analysis of crime factors have limitations in terms of accuracy due to the difficulty of data preprocessing. In addition, existing crime monitoring systems merely offer a vast amount of crime analysis results, thereby they fail to provide users with functions for more effective monitoring. In this paper, we propose a classification model for types of crime based on random-forest algorithms and system design factors for real-time crime prediction. From our experiments, we proved that our proposed classification model is superior to others that only use criminal records in terms of accuracy. Through the analysis of existing crime monitoring systems, we also designed and developed a system for real-time crime monitoring.

• Journal of the Korea Society of Computer and Information
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• v.17 no.4
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• pp.163-172
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• 2012

Modern society, various great strength crimes are producing. After all crimes happen, it is most important that prevent crime beforehand than that cope. So, many research studied to prevent various crime. However, existing method of studies are to analyze and prevent by society and psychological factors. Therefore we wishes to achieve research to forecast crime by time using Markov chain method. We embody modelling for crime occurrence estimate by crime type time using crime occurrence number of item data that is collected about 5 great strength offender strength, murder, rape, moderation, violence. And examined propriety of crime occurrence estimate modelling by time that propose in treatise that compare crime occurrence type crime occurrence estimate price and actuality occurrence value. Our proposed crime occurrence estimate techniques studied to apply maximum value by critcal value about great strength crime such as strength, murder, rape etc. actually, and heighten crime occurrence estimate probability by using way to apply mean value about remainder crime in this paper. So, we wish to more study about wide crime case and as the crime occurrence estimate rate and actuality value by time are different in crime type hereafter applied examples investigating.

• Electronics and Telecommunications Trends
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• v.3 no.2
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• pp.74-92
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• 1988

본고에서는 컴퓨터 범죄에 대한 특성, 각국의 컴퓨터 범죄 사례 및 분석과 새로운 컴퓨터 범죄자의 유형과 범죄에 사용되는 수법에 대해 기술하였다.

• Review of KIISC
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• v.4 no.2
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• pp.47-57
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• 1994

본 논문에서는 컴퓨터 통신망에 관련된 범죄를 유형별로 구분하고 이에 대한 기술적 방지대책을 구체적으로 제시한다. 본 논문은 컴퓨터 범죄를 경험적 기준에 의하여 구분하며 방지대책과의 관계도 분석한다. 기술적 방지대책으로 전형적인 OSI 참조모델에 기초한 보호모델 구조와 컴퓨터 범죄의 각 유형에 대해서 대처할 수 있는 보호 서비스 및 메카니즘 그리고 적용 가능한 계층을 종합적으로 분석 제시한다. 또한 보호메카니즘을 구현하는데 사용되는 대표적 보호알고리듬의 수행시간에 관해서도 기술한다.

• Review of KIISC
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• v.32 no.4
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• pp.41-47
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• 2022

메타버스 플랫폼에 대한 관심 및 사용량의 증가에 따라 기존 사이버 범죄 유형인 정보통신망 침해 범죄, 정보통신망 이용 범죄, 불법 콘텐츠 범죄와 더불어 아바타에 대한 강간, 강제추행, 공연음란, 스토킹 등 새로운 유형의 범죄가 발생하고 있다. 이에 형사법적 관점에서의 대응 방안과 기술적 관점에서의 디지털 포렌식 연구가 시작되고 있다. 사용자의 몰입감을 증대하여 가상 환경이 현실이라고 느낄 정도의 실감 기술을 제공하는 메타버스의 특성으로 인해 메타버스 플랫폼에 대한 포렌식 분석은 기존의 전통적인 포렌식 연구와는 다른 접근이 요구된다. 이에 본 논문에서는 메타버스 범죄 사례들을 살펴보고 이에 대응하기 위한 연구 동향을 파악해 보았다. 또한 메타버스에 대한 포렌식 분석 시 기존 디지털 포렌식과는 다른 관점에서 접근해야 할 사항들을 정리하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.720-722
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• 2013

The number of sexual violence assault cases has been increasing in various types. Because of a second conviction and high probability of committing crime after sexual violence shows seriousness of the crime. Even though sexual violence crimes are related to various and complicated crime occurred place or time, If we build an ontology for this, we could help to consider effective plan for sexual violence crime. For this, the prevention of sexual violence crime approach and support system are required. In this paper, we study the survey of sexual violence crime. Also we define the classes and attribution to design the ontology for sexual violence crime.