• ETRI Journal
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• v.43 no.6
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• pp.1058-1080
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• 2021

Crime is not a completely random event but rather shows a pattern in space and time. Capturing the dynamic nature of crime patterns is a challenging task. Crime prediction models that rely only on neighborhood influence and demographic features might not be able to capture the dynamics of crime patterns, as demographic data collection does not occur frequently and is static. This work proposes a novel approach for crime count and hotspot prediction to capture the dynamic nature of crime patterns using taxi data along with historical crime and demographic data. The proposed approach predicts crime events in spatial units and classifies each of them into a hotspot category based on the number of crime events. Four models are proposed, which consider different covariates to select a set of independent variables. The experimental results show that the proposed combined subset model (CSM), in which static and dynamic aspects of crime are combined by employing the taxi dataset, is more accurate than the other models presented in this study.

• ETRI Journal
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• v.43 no.2
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• pp.272-287
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• 2021

This article presents a multi-dimensional spatial pattern analysis of crime events in San Francisco. Our analysis includes the impact of spatial resolution on hotspot identification, temporal effects in crime spatial patterns, and relationships between various crime categories. In this work, crime prediction is viewed as a classification problem. When predictions for a particular category are made, a binary classification-based model is framed, and when all categories are considered for analysis, a multiclass model is formulated. The proposed crime-prediction model (HotBlock) utilizes spatiotemporal analysis for predicting crime in a fixed spatial region over a period of time. It is robust under variation of model parameters. HotBlock's results are compared with baseline real-world crime datasets. It is found that the proposed model outperforms the standard DeepCrime model in most cases.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.15-20
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• 2018

In modern society, crime is one of the major social problems. Crime has a great impact not only on victims but also on those around them. It is important to predict crimes before they occur and to prevent crime. Various studies have been conducted to predict crime. One of the most important factors in predicting crime is frequency of crime occurrence. The frequency of crime is widely used as basic data for predicting crime. However, the frequency of crime occurrence is announced about 2 years after the statistical processing period. In this paper, we propose a frequency analysis of crime - related key words retrieved from the web as a way to indirectly grasp the frequency of crime occurrence. The relationship between the number of frequency of crime occurrence and frequency of actual crime occurrence was analyzed by correlation coefficient.

• Asia pacific journal of information systems
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• v.5 no.1
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• pp.112-128
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• 1995

The information system control includes organizational structure, control mechanism, and management tools which contribute to accomplish the goals of information system: asset safeguarding, data integrity, effectiveness, and efficiency. Information system audit is the process to evaluate whether the information system accomplishs the goals. Information system auditor examine the reliability of information system control and suggest recommendations to improve the information system control. Both information system control and information system audit activities contribute to prevent and detect the computer crime for the organization. This paper proposes a causal model of information system control/audit and the perceived risk of computer crime, and tests the model using a survey on 38 financial institutions in Korea. Statistical results show that information system control and audit significantly reduce the computer crime risk perceived by the user group. The general control has a stronger impact than the application control. In addition, it turns out that the greater the deviation between the importance and the actual level of information system control is, the higher the perceived risk of computer crime is.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.639-640
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• 2021

In this paper, we present a simulation program to learn how to deal with crime situations by realizing a virtual environment using VR. Currently, education on various crimes is increasing year by year, but the crime prevention rate is not decreasing. It was developed to help prevent crime by using VR to experience these problems in an environment similar to reality, learn how to use various tools that have not been used directly, and experience virtual experiences through the metaverse.

• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.91-98
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• 2016

We propose a method to train a model that can predict the probability of a crime being committed. CCTV data by matching criminal events are required to train the crime prediction model. However, collecting CCTV data appropriate for training is difficult. Thus, we collected actual criminal records and converted them to an appropriate format using variables by considering a crime prediction environment and the availability of real-time data collection from CCTV. In addition, we identified new specific crime types according to the characteristics of criminal events and trained and tested the prediction model by applying neural network partial least squares for each crime type. Results show a level of predictive accuracy sufficiently significant to demonstrate the applicability of CCTV to real-time crime prediction.

• 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.

• Journal of the Korea Society of Computer and Information
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• v.21 no.2
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• pp.137-144
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• 2016

The followings are required to establish uniform principle of criminal jurisdiction for international cyber crime into customary international law; (1) clear guideline of UN for promoting national practice (2) formation of general practices based on these guidelines (3) these general practices should obtain legal confidence. International society is in close cooperation for investigating and controlling cyber threat. The US FBI has closed down the largest online crime space called 'Darkcode' and prosecuted related hackers based on joint investigation with 19 countries including England, Australia, Canada, Bosnia, Croatia, Israel, and Rumania. More and more people in Korea are raising their voices for joining cyber crime treaty, 'Budapest Treaty.' Budapest Treaty is the first international treaty prosecuting cyber crime by setting out detailed regulations on internet criminal act. Member countries have installed hotline for cyber crime and they act together. Except European countries, America, Canada, and Japan have joined the treaty. In case of Korea, from few years before, it is reviewing joining with Ministry of Foreign affairs, Ministry of Justice and the National Police but haven't made any conclusion. Different from offline crime, cyber crime is planned in advance and happens regardless of border. Therefore, international cooperation based on position of punishing criminals and international standards. Joining of Budapest international cyber crime treaty shall be done as soon as possible for enhancing national competence.

• Journal of the Korea Society of Computer and Information
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• v.22 no.1
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• pp.41-48
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• 2017

In this study, we proposed GIS-based Regional Crime Prevention Index (RCPI) development method designed to support local governments with systematic crime prevention activities. The public interest in safe urban environment is increasing rapidly. The government is putting efforts into crime prevention activities to eliminate the criminal opportunities in advance. CPTED is method to prevent crimes in the city by improving environmental factors that cause crime. It is used by local governments to promote the crime prevention activities centering on the expansion of CCTVs and street lamps and the improvement of street environment. However, most policies were terminated as one-off programs and it is necessary to monitor the effect of such policies on a continuous basis. In order to alleviate issues, this study proposed RCPI as part of crime safety assessment in urban environments. The estimation of RCPI in City A of Gyeonggi-do showed relative differences in 31 districts (dong), indicating that it is also possible to evaluate the crime safety in the local community on the level of the administrative dong, the smallest administrative district in the urban environments. As a crime map, the RCPI will be used effectively as he reference to support the decision making process for local government in the future.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.273-278
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• 2008

As the new management strategy of urban crime, The crime prevention through environmental design is the one of the crime control strategies for preparatory Prevention. Therefore, The Purpose of this study is to find out the crime prevention strategy to encounter problems in reality concerning to the urban crime. In this purpose, We analyze how to form crime distribution through fieldwork about crime happened in the dong-gu residential zone of urban crimes happened in Gwang-Ju metropolitan city, 2004. And then, We examine the crime prevention strategy through CPTED(Crime Prevention Through Environmental Design).