• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.195-201
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• 2018

The government and the police are trying to expand the safety of the people by spreading "four major social evil erasures" intensively crackdown and prevention activities of sexual assault, school violence, domestic violence, and bad foods for the main purpose of security activities I made an effort. However, in spite of such efforts, the public's feelings of social unrest and the concern about security have not been significantly improved. Therefore, in this paper, using R which is the tool for analyzing big data which is most widely used in each field such as enterprise, consulting, public field, etc., R Using variables measured at each level, we analyzed by analyzing multiple regression analyzes, and confirmed what kind of correlation there is in relation to the direction affecting policy improvement I will try to present it.

• Journal of Digital Contents Society
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• v.16 no.1
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• pp.25-32
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• 2015

With the increased frequency of crime such as assaults and sexual violence, the reliance on CCTV in arresting criminals has increased as well. However, CCTV, which should be monitored by human labor force at all times, has limits in terms of budget and man-power. Thereby, the interest in intelligent security system is growing nowadays. Expanding the techniques of an objects behavior recognition in previous studies, we propose a system to detect forms of violence between 2~3 objects from images obtained in CCTV. It perceives by detecting the object with the difference operation and the morphology of the background image. The determinant criteria to define violent behaviors are suggested. Moreover, provable decision metric values through measurements of the number of violent condition are derived. As a result of the experiments with the threshold values, showed more than 80% recognition success rate. A future research for abnormal behaviors recognition system in a crowded circumstance remains to be developed.

• Journal of Korean Academy of Nursing
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• v.49 no.1
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• pp.46-58
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• 2019

Background: Dating violence refers to violence occurring between people in an intimate relationship. Forms of dating violence are often categorized into physical, psychological, and sexual violence, and most existing literature has followed this frame. However, few studies have focused on the phenomenon of living under the perpetrator's coercive control in victims of dating violence, although those experiences are known to be signs of severe forms of violence later on. Purpose: The purpose of this study was to explore the experiences of being coercively controlled in female victims who had experienced dating violence. Method: For this study, in-depth interviews were conducted with a total of 14 female victims, and all interviews were audio-recorded and transcribed. The data were analyzed using the phenomenological analysis method suggested by Colaizzi. Results: Three themes were derived in chronological order: idealizing the relationship (period of potential control), facing severer tyranny (period of coercive control), and escaping from the unending trap (period of post-control). The results showed that the victims experienced perpetrators' control with specific patterns. The perpetrators' controlling behaviors were invisible, literally benevolent, at the beginning; however, severe forms of violence seemed to appear as their relationship deepened and the perpetrators failed to control the victims. Conclusion: Findings from this study presented vivid experiences of female victims who needed help and care. Hopefully, the results can benefit in terms of developing evidence-based prevention strategies for victims as well as assessing the risks of severe forms of dating violence, such as physical attack or murder.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.579-585
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• 2023

The purpose of this study is to explore keywords within stalking-related news articles according to political orientation through the text network analysis, and then to examine the implicit intentions. Selecting total 1,607 articles including 824 articles of the conservative press(The Chosun Ilbo, The Joongang Ilbo) and 783 articles of the progressive press(The Hankyoreh, The Kyunghyang Shinmun) reported from January 1, 2018 to December 31, 2022, this study explored the aspect of topic category drawn through the topic modeling technique based on LDA(Latent Dirichlet Allocation). In the results of this study, the common topics of the conservative and progressive press were improvement of the perception of gender-based violence, personal protection & intensity of punishment, and disclosure of stalkers' personal information. Regarding the topics differently shown in those two press, the conservative press showed stalkers' harmful act, and outline of 'murder case at Sindang Station' while the progressive press showed request for aggravated punishment on the 'murder case at Sindang Station', and eradication of sexual exploitation crime (in cyber space). The results of this study imply that there are changes in the type of reporting according to ideological opinions about stalking in news articles.

• Convergence Security Journal
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• v.23 no.3
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• pp.37-47
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• 2023

The growth of the metaverse has been accelerated by the increased demand for non-face-to-face interactions due to COVID-19 and advancements in technologies such as blockchain and NFTs. However, with the emergence of various metaverse platforms and the corresponding rise in users, criminal cases such as ransomware attacks, copyright infringements, and sexual offenses have occurred within the metaverse. Consequently, the need for artifacts that can be utilized as digital evidence within metaverse systems has increased. However, there is a lack of information about artifacts that can be used as digital evidence. Furthermore, metaverse security evaluation and forensic analysis are also insufficient, and the absence of attack scenarios and related guidelines makes forensics challenging. To address these issues, this paper presents artifacts that can be used for user behavior analysis and timeline analysis through dynamic analysis of Roblox, a representative metaverse gaming solution. Based on analyzing interrelationship between identified artifacts through memory forensics and log file analysis, this paper suggests the potential usability of artifacts in metaverse crime scenarios. Moreover, it proposes improvements by analyzing the current legal and regulatory aspects to address institutional deficiencies.