• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.43-54
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• 2016

The occurrence of cyber crime is on the rise every year, and the security control center, which should play a crucial role in monitoring and early response against the cyber attacks targeting various information systems, its importance has increased accordingly. Every endeavors to prevent cyber attacks is being attempted by information security personnel of government and financial sector's security control center, threat response Center, cyber terror response center, Cert Team, SOC(Security Operator Center) and else. The ordinary method to monitor cyber attacks consists of utilizing the security system or the network security device. It is anticipated, however, to be insufficient since this is simply one dimensional way of monitoring them based on signatures. There has been considerable improvement of the security control system and researchers also have conducted a number of studies on monitoring methods to prevent threats to security. In accordance with the environment changes from ESM to SIEM, the security control system is able to be provided with more input data as well as generate the correlation analysis which integrates the processed data, by extraction and parsing, into the potential scenarios of attack or threat. This article shows case studies how to detect the threat to security in effective ways, from the initial phase of the security control system to current SIEM circumstances. Furthermore, scenarios based security control systems rather than simple monitoring is introduced, and finally methods of producing the correlation analysis and its verification methods are presented. It is expected that this result contributes to the development of cyber attack monitoring system in other security centers.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.1
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• pp.173-179
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• 2015

Financial fraud such as phishing have passed several years from the occurrence, in spite of the widely known through the media, regardless of the social status or age, financial fraud has occurred on an ongoing basis, the damage is not reduced. The fraud account, the person who made the account, the user is different, it is possible to avoid tracking financial channel, and is used as a receiving means for fraud money of various crimes. Efforts of financial institutions and financial supervisory institutions, it has been promoted by preparing various measures for the eradication of fraud account so far been used as a means of financial crime, the proliferation of financial fraud, opening and distribution of fraud account is a receiving means for fraud money are also increasing continuously, it is necessary to take countermeasures. In spite of the continuous crackdown of financial institutions and financial supervisory institutions, it is causing serious damage to society, analyzes the current situation of fraud account, to present an effective and aggressive countermeasure of financial institutions in this paper.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.5
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• pp.482-487
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• 2017

It is necessary to respond to criminal cases on board of pelagic fishing boats in the international waters with domestic legal judgement and international legal judgement due to a natural limitation by geographical long distance while it is possible to deal with domestic criminal cases with prompt response by using air crafts or patrol vessels. In other words, according to the flag of the vessel, the legal status of the water where is the crime scene, the nationalities of the victim and the perpetrator, it is required to judge if Korea can exert their jurisdiction and there is an issue if Korea Coast Guard exert their law enforcement effectively with this natural problem. In this paper, I propose a systemic improvement for a swift investigation for henceforth similar case's occurrence by analyzing the jurisdiction, the suspect's handling, the basic cause of the murder on-board which are based on the case of the vessel No.803 Gwang-Hyeon which was happened recently.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.1
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• pp.100-107
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• 2012

Recently the need for advanced security technologies are increasing as the occurrence of intelligent crime is growing fastly. Previous methods for face disguise detection are required for the improvement of accuracy in order to be put to practical use. In this paper, we propose a new disguise detection method using the template matching and Adaboost algorithm. The proposed system detects eyes based on multi-scale Gabor feature vector in the first stage, and uses template matching technique in oreder to increase the detection accuracy in the second stage. The template matching plays a role in determining whether or not the person of the captured image has sunglasses on. Adaboost algorithm is used to determine whether or not the person of the captured image wears a mask. Experimental results indicate that the proposed method is superior to the previous methods in the detection accuracy of disguise faces.

• Fire Science and Engineering
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• v.28 no.2
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• pp.69-75
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• 2014

This study derives the factors which affect the occurrence of arson from statistical data (population, economic, and social factors) by multiple regression analysis. Multiple regression analysis applies to 4 forms of functions, linear functions, semi-log functions, inverse log functions, and dual log functions. Also analysis respectively functions by using the stepwise progress which considered selection and deletion of the independent variable factors by each steps. In order to solve a problem of multiple regression analysis, autocorrelation and multicollinearity, Variance Inflation Factor (VIF) and the Durbin-Watson coefficient were considered. Through the analysis, the optimal model was determined by adjusted Rsquared which means statistical significance used determination, Adjusted R-squared of linear function is scored 0.935 (93.5%), the highest of the 4 forms of function, and so linear function is the optimal model in this study. Then interpretation to the optimal model is conducted. As a result of the analysis, the factors affecting the arson were resulted in lines, the incidence of crime (0.829), the general divorce rate (0.151), the financial autonomy rate (0.149), and the consumer price index (0.099).

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.5
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• pp.645-651
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• 2010

Recently the need for advanced security technologies are increasing as the occurrence of intelligent crime is growing fastly. Previous liveness detection methods are required for the improvement of accuracy in order to be put to practical use. In this paper, we propose a new fake image detection method using pupil reflection. The proposed system detects eyes based on multi-scale Gabor feature vector in the first stage, and uses template matching technique in oreder to increase the detection accuracy in the second stage. The template matching plays a role in determining the allowed eye area. The infrared image that is reflected in the pupil is used to decide whether or not the captured image is fake. Experimental results indicate that the proposed method is superior to the previous methods in the detection accuracy of fake images.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.3
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• pp.214-223
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• 2015

This research aims to study agricultural dwelling welfare's application plan according to empty house reality condition. Study's subject was empty houses in Yeongwol-gul in year 2013. Data analysis was concentrated on measuring questionnaires and SPSSWIN 16.0 was used for statistics of frequency analysis and average analysis. As a result, first, empty house's background occurrence and environment was investigated. Second, due to dead mine and rural exodus, there was increase in the number of empty houses, which damaged regional scenary. Furthermore, the region became a crime-ridden district, which is a social issue. Third, it was found that plans as empty house remodeling, policy support, various alternatives, systematic management, housing welfare, and continuous promotion were needed. This research will provide implications in solving social issues due to empty houses, and through application plan, there will be improvement in agricultural dwelling welfare and income increase. There also will be improvement in environment, and policy source for inducing city people and original residents to empty houses.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.21-37
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• 2021

This study investigated the intellectual structure of the latest trends in Korean addiction research in the social sciences. A network analysis of keywords with co-word occurrence was performed on 172 papers from the KCI database based on the data from the year of 2019, and a total of 432 keywords were extracted. The network analysis was performed using several programs: Bibexcel, COOC, WNET, and NodeXL. As a result of the study, keywords related to addiction type, study subjects, research methods, and research variables were found, and a total of 20 clusters were identified. Furthermore, to identify and measure weighted networks, the relationships between each keyword were explored and discussed in detail through a network analysis of global centralities, local centralities, and betweenness centralities. The study indicated that the latest issues were focused on smartphone addiction and provided implications for the future research and practice that fields and topics of relationship addiction, food addiction, and work addiction should be more considered. Further, the study discussed the relationship between drug addiction-crime, alcohol addiction-family, and gambling addiction-motivation and the necessity of qualitative study.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.115-121
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• 2022

In this paper, we analyze trends in the use of mobile forensic technology, focusing on cases where mobile forensics are used, and we predict the development of future mobile forensics technology using linear regression used in future prediction models. For the current status and outlook analysis, we extracted a total of 8 variables by analyzing 1,397 domestic and foreign mobile forensics-related cases and newspaper articles. We analyzed the prospects for each variable using the year of occurrence as an independent variable, seven variables such as text (text message usage information), communication information (cell phone communication information), Internet usage information, messenger usage information, stored files, GPS, and others as dependent variables. As a result of the analysis, among various aspects of the use of mobile devices, the use of Internet usage information, messenger usage information, and data stored in mobile devices is expected to increase. Therefore, it is expected that continuous research on technologies that can effectively extract and analyze characteristic information of mobile devices such as file systems, the Internet, and messengers will be needed As mobile devices increase performance and utilization in the future and security technology.

• Journal of Navigation and Port Research
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• v.36 no.6
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• pp.481-488
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• 2012

As an exploratory research to understand the nature of relationships between ports and their neighboring communities, this study analyzes how ports influence their residents' quality of life(QOL). The QOL was measured by 17 indicators reconstructed by reviewing relevant literatures. As a result, both Busan port and Dalian port were found to have statistically significant influence on many of QOL indicators including general expenditure per capita, number of manufacturing factories per capita, number of factories's laborer per capita, the rate of pavement, number of traffic accident per capita, rate of housing supply, number of financial agencies per capita, park area per capita, number of cultural assets per capita, the size of welfare expenditure per capita, number of fire occurrence per capita. And Busan port have statistically significant influence on QOL indicators including the rate of increase in population, number of public health industries per capita, number of public health industries per capita, number of schools per capita, number of sick-beds per capita, but Dalian port not have influence. Also Dalian port have statistically significant influence on number of crime occurrence per capita, but Busan port not have influence.