• Journal of the Korea Computer Graphics Society
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• v.24 no.3
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• pp.83-92
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• 2018

In this paper, we propose a system to a criminal profiling simulation training and assessment with virtual reality technology. Profiling has emerged as the incidence of violent crime has increased by 45.2 % in the country over the past decade. However, the number of profilers in Korea is 36, due to the problem of existing courses. "Criminal Reproduction Learning" is the common way to profiling training, but there are numerous constraints that prevent practical training. Thus, the system used virtual reality technology to overcome existing constraints. Users can receive simulation training and assessment of profiling at crime scene that have been implemented as virtual reality, with an immersive experience through interaction. We expect this system to contribute to the activation of profiling education in many institutions and to the development of good profilers with diverse training.

• Korean Security Journal
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• no.38
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• pp.33-56
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• 2014

This study is aim to make use of prevention of air terrorism and strengthen of air security in Korea. To achieve it. searching main feature in U.S aviation profiling. Aviation profiling in U.S used to Secure Flight, Screening Passengers by Observation Technique, Registered Travel Program. Through U.S Aviation Profiling, Prevention of air terrorism in Korea are as in the following. First, Through U.S Aviation Profiling, Information of terrorism constructed in advance and unification of constructed information. Second, Identifiying that institution exclusively for prevention of air terrorism. Third, Identifiying that human rights and privacy invasion to a minimun plan anout U.S aviation profiling. Finally, Identifiying that the spread of research development for prevention of air terrorism and strengthen of air security in Korea.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.4
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• pp.115-140
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• 2021

This study divided the keyword sets searched from LISTA database focusing on the overseas open access fields into two types (controlled keywords and uncontrolled keywords), and examined the results of performing an intellectual structure analysis based on profiling for the each keyword type. In addition, these results were compared with those of an intellectual structural analysis based on co-word analysis. Through this, I tried to investigate whether similar results were derived from profiling, another method of intellectual structure analysis, and to examine the differences between co-word analysis and profiling results. As a result, there was a similar difference to the co-word analysis in the results of intellectual structure analysis based on profiling for each of the two keyword types. Also, there were also noticeable differences between the results of intellectual structural analysis based on profiling and co-word analysis. Therefore, intellectual structure analysis using keywords should consider the characteristics of each keyword type according to the research purpose, and better results can be expected to be used based on profiling than co-word analysis to more clearly understand research trends in a specific field.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.7
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• pp.1443-1449
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• 2009

This paper presents a profiling model of a wide-window superscalar microprocessor using multiple branch prediction. The key idea is to apply statistical profiling technique to the superscalar microprocessor with a wide instruction window and a multiple branch predictor. The statistical profiling data are used to obtain a synthetical instruction trace, and the consecutive multiple branch prediction rates are utilized for running trace-driven simulation on the synthesized instruction trace. We describe our design and evaluate it with the SPEC 2000 integer benchmarks. Our performance model can achieve accuracy of 8.5 % on the average.

• Korean Management Science Review
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• v.23 no.3
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• pp.183-194
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• 2006

In this paper, we propose a customer profiling technique based on customer behavior for personalized products recommendation in Internet shopping mall. The proposed technique defines customer profile model based on customer behavior Information such as click data, buying data, market basket data, and interest categories. We also implement CBCPT(customer behavior based customer profiling technique) and perform extensive experiments. The experimental results show that CBCPT has higher MAE, precision, recall, and F1 than the existing other customer profiling technique.

• Journal of Korean Institute of Fire Investigation
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• v.11 no.1
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• pp.23-30
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• 2008

Recently, police agency and social scientists' interest in the criminal profiling is increasing. Since serial killings had sharply increased during 1960s in U.S. the American law enforcement agency were pushed to solve those criminal incidents. Therefore, they drew various investigative techniques. But there are no study for the criminal profiling of arsonists. So, this paper reviewed prior studies on the arsonist's type and suggested how to apply this kind of basic information for investigating arson cases in Korea.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.413-423
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• 2012

Offender profiling, as a crime investigation technique, aims to respond more effectively to violent crimes. However, attitude that police investigators hold toward offender profiling is quite skeptical, which prevents offender profiling from making effective and practical contributions to police investigations. Therefore, the present study explored development strategies of offender profiling by examining perceptions of offender profiling among 156 Korean National Police University students. Furthermore, a total of 166 students from other universities also participated as a control group. As a result, participants showed positive attitude toward offender profiling, in terms of its necessity, effectiveness, and reliability. However, they believed that Korean police agencies are not making the good use of offender profiling and that profilers are not necessarily taking the lead in solving cases. In terms of the profiler education, the majority of the students who showed interest in becoming a profiler did not know what to learn and how to prepare for becoming one. Finally, limitations of the present study were discussed and suggestions for further research were made.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.1
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• pp.145-154
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• 2014

In this paper, we propose a novel anti-malware system based on behavior profiling, called Andro-profiler. Andro-profiler consists of mobile devices and a remote server, and is implemented in Droidbox. Our aim is to detect and classify malware using an automatic classifier based on behavior profiling. First, we propose the representative behavior profiling for each malware family represented by system calls coupled with Droidbox system logs. This is done by executing the malicious application on an emulator and extracting integrated system logs. By comparing the behavior profiling of malicious applications with representative behavior profiling for each malware family, we can detect and classify them into malware families. Andro-profiler shows over 99% of classification accuracy in classifying malware families.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.1
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• pp.15-23
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• 2017

Template attack is a powerful side-channel analysis technique which can be performed by an attacker who has a test device that is identical to target device. Template attack is consisted of building template in profiling phase and matching the target device using template that were calculated in profiling phase. One methods to improve the success rate of template attack is to better estimate template which is consisted sample mean and sample covariance matrix of gaussian distribution in template profiling. However restriction of power trace in profiling phase led to poor template estimation. In this paper, we propose new method to select noisy power trace in profiling phase. By eliminating noisy power trace in profiling phase, we can construct more advanced mean and covariance matrix which relates to better performance in template attack. We proved that the proposed method is valid through experiments.

• Proceedings of the Materials Research Society of Korea Conference
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• 1994.11a
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• pp.61-62
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• 1994