• International Journal of Contents
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• 제8권2호
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• pp.89-96
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• 2012

Scientific analysis of crime hot spots is essential in preventing and/or suppressing crime. However, results could be different depending on the analytic methods, which highlights the importance of choosing adequate tools. The purpose of this study was to introduce two advanced techniques for detecting crime hot spots, GAM and Local Moran's I, hoping for more police agencies to adopt better techniques.GAM controls for the number of population in study regions, but local Moran's I does not. That is, GAM detects high crime rate areas, whereas local Moran's I identifies high crime volume areas. For GAM, physical disorder was used as a proxy measure for population at risk based on the logic of the broken windows theory. Different regions were identified as hot spots. Although GAM is generally regarded as a more advanced method in that it controls for population, it's usage is limited to only point data. Local Moran's I is adequate for zonal data, but suffers from the unavoidable MAUP(Modifiable Areal Unit Problem).

• International Journal of Computer Science & Network Security
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• 제22권8호
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• pp.299-303
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• 2022

The article examines the stage of verification of a crime report from the standpoint of the need for its legislative regulation. Moreover, it investigates the international experience in this field. The existing procedural models are described in detail on the example of the neighboring and faraway countries. An analysis of the provisions of the current criminal procedure law of Russia and foreign experience allowed the authors to identify existing problems in the implementation of departmental control and prosecutorial supervision at the stage of verifying a crime report. The aim of the study is to develop theoretical provisions and recommendations regarding the implementation of departmental procedural control and prosecutorial supervision over the activities of the investigator during the verification of reports of crimes, based on the study of experience, both in Russia and in a number of countries of the near and far abroad, which could find their reflection in law enforcement practice, as well as aimed at improving the current criminal procedure legislation. The authors substantiated the theory that a detailed examination of the foreign procedural foundations of checking a crime report will allow us to form the most suitable model for checking a crime report for our state, taking into account all possible features and successfully implement it into the current criminal procedural law of the Russian Federation.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.499-510
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• 2022

This study examines the reporting factors of crime against business in Korea and proposes a corresponding predictive model using machine learning. While many previous studies focused on the individual factors of theft victims, there is a lack of evidence on the reporting factors of crime against a business that serves the public good as opposed to those that protect private property. Therefore, we proposed a crime prevention model for the willingness factor of theft reporting in businesses. This study used data collected through the 2015 Commercial Crime Damage Survey conducted by the Korea Institute for Criminal Policy. It analyzed data from 834 businesses that had experienced theft during a 2016 crime investigation. The data showed a problem with unbalanced classes. To solve this problem, we jointly applied the Synthetic Minority Over Sampling Technique and the Tomek link techniques to the training data. Two prediction models were implemented. One was a statistical model using logistic regression and elastic net. The other involved a support vector machine model, tree-based machine learning models (e.g., random forest, extreme gradient boosting), and a stacking model. As a result, the features of theft price, invasion, and remedy, which are known to have significant effects on reporting theft offences, can be predicted as determinants of such offences in companies. Finally, we verified and compared the proposed predictive models using several popular metrics. Based on our evaluation of the importance of the features used in each model, we suggest a more accurate criterion for predicting var.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.119-130
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• 2022

Crime is a common social problem that affects the quality of life. As the number of crimes increases, it is necessary to build a model to predict the number of crimes that may occur in a given period, identify the characteristics of a person who may commit a particular crime, and identify places where a particular crime may occur. Data privacy is the main challenge that organizations face when building this type of predictive models. Federated learning (FL) is a promising approach that overcomes data security and privacy challenges, as it enables organizations to build a machine learning model based on distributed datasets without sharing raw data or violating data privacy. In this paper, a federated long short- term memory (LSTM) model is proposed and compared with a traditional LSTM model. Proposed model is developed using TensorFlow Federated (TFF) and the Keras API to predict the number of crimes. The proposed model is applied on the Boston crime dataset. The proposed model's parameters are fine tuned to obtain minimum loss and maximum accuracy. The proposed federated LSTM model is compared with the traditional LSTM model and found that the federated LSTM model achieved lower loss, better accuracy, and higher training time than the traditional LSTM model.

• 디지털융복합연구
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• 제17권1호
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• pp.467-474
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• 2019

최근 우리나라 뿐 아니라 많은 국가들에서 장애인을 포함한 특정 집단에 대한 혐오감이 범죄로 이어지는 사건이 늘어나면서 증오범죄(hate crime)가 새로운 사회적 문제로 대두되고 있다. 이에 본 연구는 관련 사전 연구는 물론, 관련 기관의 국내외 통계 보고서 및 범죄사건 신문 자료들을 검토하여 지속적으로 증가하고 있는 증오범죄의 개념 및 국내외 현황을 알아보고, 장애인에 대한 사회적 태도에 대한 고찰 및 장애인 대상 증오범죄의 실태를 살펴보았다. 마지막으로 이러한 범죄를 줄일 수 있는 방법에 대해 몇 가지 복지적 관점에서의 제언을 하였다.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.246-250
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• 2022

The article analyzes the regulations of current criminal law and current issues, combating drug crime on the Internet, as well as measures to combat drug crime in the field of modern information technology. In connection with the growth of crimes in the field of drug trafficking committed with the use of information and telecommunications technologies, the urgent task of the state is to find effective ways to reduce drug crime. The article considers criminologically significant aspects of the mechanism of illicit drug trafficking, which is carried out with the use of information and telecommunication technologies and means of remote communication.

• 디지털콘텐츠학회 논문지
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• 제19권1호
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• pp.193-198
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• 2018

우리나라는 인터넷과 전화 및 스마트기기 보급률이 세계 최고 수준에 이르고 있다. 이러한 인프라를 악용한 사이버금융범죄는 지속적으로 발전하고 있다. 2006년 5월에 국내 최초로 보이스피싱 범죄가 발생한 이후, 10년이 지난 현재까지 보이스피싱 범죄는 지속적으로 발생하고 있다. 보이스피싱이란 피해자에게 허위의 내용으로 전화를 걸어, 피해자의 계좌번호 및 패스워드 등을 알아 내어 금전을 편취하는 범죄이다. 이러한 보이스피싱은 그 수법이 날로 진화 발전하여 수사에 어려움을 격고 있다. 보이스피싱의 대부분은 중국 등 동남아시아에 그 본거지를 두고 활동하는 국제조직범죄의 형태로써 국제협력수사에 의하지 않고는 근절이 쉽지 않다. 이에 본 연구는 보이스피싱 범죄에 대한 발생실태와 사례분석을 하고, 경찰의 보이스피싱에 대한 대응방안을 살펴본 후, 이에 대한 개선점을 제시하고자 한다.

• 한국콘텐츠학회논문지
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• 제10권8호
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• pp.317-326
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• 2010

범죄로부터 안전이 시민들에게는 일상생활에서 무엇보다 중요한 요인이라는 의식이 자리를 차지하면서 공적공간뿐만 아니라 사적장소에서의 안전에 대해 국가나 지방정부는 시민들의 안전을 보장할 책임이 있다.범죄는 시민들의 일상생활에서 공포와 두려움의 대상이 되기 때문에 이러한 범죄문제를 해결하지 못한다면 시민들의 삶의 질도 개선되지 못할 것이다. 범죄로부터의 안전한 지역사회를 만들기 위해서는 다양한 정책들이 구성되어야 하겠지만 그 중심에는 CPTED의 도입이 필수적일 수밖에 없다. CPTED는 도시공간의 물리적 환경설계를 범죄로부터 방어적인 구조로 변경 또는 적용함으로써 범죄와 범죄피해에 대한 공포를 차단하고 감소시켜 주는 이론이다. 본 연구는 지역사회의 안전을 위협하는 범죄에 대한 예방 방안 중의 하나로서 상가 및 쇼핑센터를 중심으로 한 범죄예방 진단프로그램을 개발하여 정책에 이용하고 나아가 지역주민의 안전한 삶을 보호하는데 연구의 목적을 두고 있다.

• 한국콘텐츠학회논문지
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• 제12권7호
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• pp.176-182
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• 2012

보이스피싱(Voice Phishing)은 전화를 이용하여 개인정보를 불법적으로 알아내어 이를 토대로 예금을 인출해가는 사기수법으로 피해사례들이 속출하면서 새로운 사회문제로 등장하였다. 그 피해의 대상은 선량한 일반 시민으로 무차별적으로 공략하고 있으며 주로 중국인 대만인 등 외국인들에 의해 저질러지는 범죄이다. 범죄의 착수가 우리나라 국경 밖에서 이루어지고 있다는 점에서 새로운 형태의 범죄유형이라 할 수 있다. 이에 본 연구는 보이스피싱과 관련하여 현재의 발생실태와 사례를 분석하고 효과적인 대응현황을 모색하고자 한다. 보이스피싱 관련 범죄는 지속적인 홍보와 단속에도 불구하고 범죄가 근절되지 않고 오히려 수법이 다양화 전문화 되면서 발전해 가는 양상을 보이고 있다. 향후 보이스피싱을 근절하기 위해서는 금융 통신 수사분야에서 문제점에 대한 대응방안이 마련되어야 할 것으로 본다. 또한 신속한 수사의 착수와 수사관련 기법의 개발을 통해 경찰 단속활동이 강화되어야 할 것이고, 국제 범죄적 성격을 보이고 있으므로 인터폴등 관련기관 및 국제공조협력이 강화되어야 한다.

• 시큐리티연구
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• 제2호
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• pp.99-123
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• 1999

Internet related crimes are a crime which is inter-related with high specialization ${\cdot}$ technicality ${\cdot}$ leakage of information ${\cdot}$ intellectual-offence and deviant behavior. Without the accurate countermeasure, we can't achieve the desired end. So we should find out multilateral and general measure. Always crimes go in advance of the measure, so the counter measures against, computer crime can not be final. Nevertheless, we can't be careless in making the measure, but we should always consider a counter measure. 1995. 12. 29. our country revised criminal law and consolidated direct provisions, especially on the computer-hacking. But, inspite of the revision, especially on the computer-hacking. But, inspite of the revision, we have many problems'. So, first of all, through the positive and empirical study, we should revise criminal law and computer crime related provisions systematically. As the aspects and techniques of internet related crimes are always changing with the development of computer technology, there will be many problems with principle of legality, when we apply the existing abstract provisions to the new crime. We can not be lazy in studying the emerging internet related crimes and taking concrete shape of the provision. And it will be a big help to that desirable to import the foreign provision without consideration of our reality. Without the positive and empirical study on internet related crimes, sometimes important crime will be out of reach of the punishment. Due to these day's development of computer and technology of communication, the personal computers are widely supplied and especially PC communication and exchange of the informations became the most important function. With the advent of internet, new aspects of crimes are appearing. Up to now, the fraud by using the computer or the interference in the execution of duty by the illegal operation of computer was the leading aspects of computer crime, but nowadays with the advent of internet, database crime or network crime like the computer hacking became the important aspects of internet related crimes. These new aspects of internet related crimes are defusing into domains of traditional crimes. Nevertheless to follow and punish the acts on the internet is not technically easy, and as it is emerging international shape, to settle it by international law is not that easy. Harmful acts in the information-oriented society are very diverse in kinds and aspects, and it is difficult to enumerate. The point is that among the new acts in the information-oriented society we should decide which acts are to be punished and which acts are not to be punished. It is needless to say that the criminal law should be the last resort. But owing to the characters of the characteristics of the information-oriented society, when the traditional standards can be applied, the question of what is the basis and how it can be applied in a concrete way is not settled. And if it cannot be applied, how can we make new standard is also an unsettled question.