• Title/Summary/Keyword: 공격전략

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The effects of Mother's Discipline Style and Preschooler's Emotional Regulation Strategies on Preschooler's Leadership (어머니의 훈육방식 및 유아의 정서조절전략이 유아의 리더십에 미치는 영향)

  • Kim, Kyung Sook;Yang, MI Kyung
    • Korean Journal of Childcare and Education
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    • v.6 no.3
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    • pp.23-44
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    • 2010
  • This study analyzed the relationships mother's discipline style, preschooler's emotional regulation strategies, and preschooler's leadership. The subjects were 180 preschoolers who were 5 years old and their mothers live in Gwang-ju and Jeon-Nam province. Collected data were analyzed by descriptive statistics, Pearson's correlation, and stepwise regression analysis using the program of SPSS. The findings of the study were as follows. (1) there was a difference between the average score of subcategory and the total score of leadership according to the gender of preschooler and mother's employment and her educational background. However, there was no difference from the birth order of preschooler. (2) A correlation was not found between mother's discipline style and preschooler's leadership, but the significant negative correlation showed up between preschooler's emotional regulation strategies and preschooler's leadership. (3) The leadership of preschoolers who use positive coping strategies of a sub-area of emotional regulation strategies appeared strong. And the leadership appeared low with a boy who uses avoidant & supportive strategies, supportive strategies, aggressive strategies and venting strategies more often. Furthermore, the model of explanatory adequacy (R2) of some independent variables from the average scores of subcategory and the total score of leadership was confirmed to be the statistically significant explanatory model.

Effective Adversarial Training by Adaptive Selection of Loss Function in Federated Learning (연합학습에서의 손실함수의 적응적 선택을 통한 효과적인 적대적 학습)

  • Suchul Lee
    • Journal of Internet Computing and Services
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    • v.25 no.2
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    • pp.1-9
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    • 2024
  • Although federated learning is designed to be safer than centralized methods in terms of security and privacy, it still has many vulnerabilities. An attacker performing an adversarial attack intentionally manipulates the deep learning model by injecting carefully crafted input data, that is, adversarial examples, into the client's training data to induce misclassification. A common defense strategy against this is so-called adversarial training, which involves preemptively learning the characteristics of adversarial examples into the model. Existing research assumes a scenario where all clients are under adversarial attack, but considering the number of clients in federated learning is very large, this is far from reality. In this paper, we experimentally examine aspects of adversarial training in a scenario where some of the clients are under attack. Through experiments, we found that there is a trade-off relationship in which the classification accuracy for normal samples decreases as the classification accuracy for adversarial examples increases. In order to effectively utilize this trade-off relationship, we present a method to perform adversarial training by adaptively selecting a loss function depending on whether the client is attacked.

Defending Multiple Terrorist Targets (대테러전략의 게임이론적 분석)

  • Lee, Sanghoon K.
    • KDI Journal of Economic Policy
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    • v.35 no.3
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    • pp.91-124
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    • 2013
  • This paper analyzes a situation where multiple targets are exposed to a potential terrorist attack. The probability of an attack is determined endogenously in a game where a terrorist chooses the target while the targets independently determine the level of deterrence. As each target tries to divert an attack to others, the symmetric equilibrium becomes suboptimal and exhibits dispersion in the level of deterrence. The analysis shows that the first best deterrence level may be achieved when the targets can write a binding risk-sharing contract. Such a contract has limited applicability however as it suffers from a potential verification problem.

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Preschoolers' Inclination Toward Internet-game Addictive Based on Aggression and Social Skills, Maternal Management Strategies for Peer Relations and Parenting Behaviors (유아의 인터넷 게임 중독 경향성에 따른 유아의 공격성과 사회적 기술, 어머니의 또래관계 관리전략과 양육행동의 차이)

  • Chung, Jee-Nha;Kim, Jihyun
    • Korean Journal of Human Ecology
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    • v.21 no.6
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    • pp.1029-1042
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    • 2012
  • The purpose of this study was to explore relationships between preschooler's aggression and social skills, maternal management strategies of peer relations and parenting behaviors and preschoolers' internet-game addictive inclination. Participants included seventy-seven (77) 5 to 6-year-old preschoolers (44 boys, 33 girls) and their mothers. The Aggressive Behavior Scale (Lee & Choi, 2001), the Social Skill Rating Scale (Suh, 2004), the Maternal Parenting Behaviors Scale (Rhu & Lee, 2007) and the Parental Involvement Checklist (Park, 2001) were used in this study. The Internet Game Addiction Scale (Korea Agency for Digital Opportunity and Promotion, 2006) was used to identify higher and lower addictive level of internet-game inclination. Collected data were analyzed by descriptive statistics and t-test. Major findings revealed that preschooler's social skills, maternal management strategies of peer relations and parenting behaviors showed a predictable correlation to preschooler's internet-game addictive inclination.

Strategies for Cybersecurity in Universities from Institutional and Technical Perspectives (대학 내 사이버 보안을 위한 제도·기술적 관점에서의 전략)

  • Ki-Ho Lee;Yong-Joon Lee
    • Convergence Security Journal
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    • v.24 no.3
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    • pp.187-193
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    • 2024
  • With the advancement of AI and IoT, cybersecurity threats have increased dramatically. As the methods and objectives of cyber-attacks evolve, universities, like all major industries, are facing serious cybersecurity issues. Universities hold vast amounts of sensitive information such as students' personal data, research data, and intellectual property, making them prime targets for cyber threats. Therefore, this paper aims to present cybersecurity strategies from both institutional and technical perspectives to help university leaders and policymakers enhance their cybersecurity posture. The study reviews current trends through the flow of cyber-attacks and proposes governance, policy development, risk management, and the establishment of FIDO and AI-based security systems to respond to the increase in sophisticated threats such as ransomware and AI-based malware.

Automatic Classification Technique of Offence Patterns using Neural Networks in Soccer Game (뉴럴네트워크를 이용한 축구경기 공격패턴 자동분류에 관한 연구)

  • Kim, Hyun-Sook;Yoon, Ho-Sub;Hwang, Chong-Sun;Yang, Young-Kyu
    • Annual Conference of KIPS
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    • 2001.10a
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    • pp.727-730
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    • 2001
  • 멀티미디어 환경의 급속한 발전에 의해 영상처리 기술은 인간의 인체와 관련하여 얼굴인식, 제스처 인식에 관한 응용과 더불어 스포츠 관련분야로 깊숙히 정착하고 있다. 그러나 입력영상으로부터 움직이고 있는 선수들의 동작을 추출 및 추적하는 일은 컴퓨터비전 연구의 난 문제 중의 하나로 알려져 있다. 이러한 축구경기의 TV 중계에 있어서 하이라이트 장면의 자동추출(자동색인)은 그 경기의 가장 집약적인 표현이며, 축구경기 전체를 한 눈에 파악할 수 있도록 해주는 요약(summary)이자 intensive actions이고 경기의 진수이다. 따라서 축구경기와 같이 비교적 기 시간(대체로 1시간 30분) 동안 다수의 선수(양 팀 합해서 22명)들이 서로 복잡하게 뒤얽히면서 진행하는 경기의 하이라이트 장면을 효과적으로 포착하여 표현해 줄 수 있다면 TV를 통해서 경기를 관람하는 시청자들에게는 경기의 진행상황을 한 눈에 효과적으로 파악할 수 있게 해주어 흥미진진한 경기관람을 할 수 있게 해주고, 경기의 진행자들(감독, 코치, 선수 등)에게는 고차원적이고 과학적인 정보를 효과적으로 제공함으로써 한층 진보된 경기기법을 개발하고 과학적인 경기전략을 세울 수 있게 해준다. 본 논문은 이상과 같이 팀 스포츠(Team Spots)의 일종인 축구경기 하이라이트 장면의 자동색인을 위해 뉴럴네트워크 기법을 이용하여 그룹 포메이션(Group Formation) 중의 공격패턴 자동분류 기법을 개발하고 이를 검증하였다. 본 연구에서는 축구경기장 내의 빈번하게 변화하는 장면들을 자동으로 분할하여 대표 프레임을 선정하고, 대표 프레임 상에서 선수들의 위치정보와 공의 위치정보 등을 기초로 하여 경기 중에 이루어지는 선수들의 그룹 포메이션을 추적하여 그룹행동(group behavior)을 분석하고, 뉴럴네트워크의 BP(Back-Propagation) 알고리즘을 사용하여 축구경기 공격패턴을 자동으로 인식 및 분류함으로써 축구경기 하이라이트 장면의 자동추출을 위한 기반을 마련하였다. 본 연구의 실험에는 '98 프랑스 월드컵 축구경기의 다양한 공격패턴에 대한 비디오 영상에서 각각 좌측공격 60개, 우측공격 74개, 중앙공격 72개, 코너킥 39개, 프리킥 52개의 총 297개의 데이터를 추출하여 사용하였다. 실험과는 좌측공격 91.7%, 우측공격 100%, 중앙공격 87.5%, 코너킥 97.4%, 프리킥 75%로서 매우 양호한 인식율을 보였다.

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Scalable Fingerprinting Scheme based on Angular Decoding for LCCA Resilience (선형결합 공모공격에 강인한 각도해석 기반의 대용량 핑거프린팅)

  • Seol, Jae-Min;Kim, Seong-Whan
    • The KIPS Transactions:PartD
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    • v.15D no.5
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    • pp.713-720
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    • 2008
  • Fingerprinting scheme uses digital watermarks to trace originator of unauthorized or pirated copies, however, multiple users may collude and escape identification by creating an average or median of their individually watermarked copies. Previous research works are based on ACC (anti-collusion code) for identifying each user, however, ACC are shown to be resilient to average and median attacks, but not to LCCA and cannot support large number of users. In this paper, we propose a practical SACC (scalable anti-collusion code) scheme and its angular decoding strategy to support a large number of users from basic ACC (anti-collusion code) with LCCA (linear combination collusion attack) robustness. To make a scalable ACC, we designed a scalable extension of ACC codebook using a Gaussian distributed random variable, and embedded the resulting fingerprint using human visual system based watermarking scheme. We experimented with standard test images for colluder identification performance, and our scheme shows good performance over average and median attacks. Our angular decoding strategy shows performance gain over previous decoding scheme on LCCA colluder set identification among large population.

Study on security framework for cyber-hacking control facilities (제어시설 사이버공격 대응을 위한 사이버보안 프레임워크 (Framework) 연구)

  • Lee, Sang-Do;Shin, Yongtae
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.4
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    • pp.285-296
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    • 2018
  • Among many hacking attempts carried out in the past few years, the cyber-attacks that could have caused a national-level disaster were the attacks against nuclear facilities including nuclear power plants. The most typical one was the Stuxnet attack against Iranian nuclear facility and the cyber threat targeting one of the facilities operated by Korea Hydro and Nuclear Power Co., Ltd (Republic of Korea; ROK). Although the latter was just a threat, it made many Korean people anxious while the former showed that the operation of nuclear plant can be actually stopped by direct cyber-attacks. After these incidents, the possibility of cyber-attacks against industrial control systems has become a reality and the security for these systems has been tightened based on the idea that the operations by network-isolated systems are no longer safe from the cyber terrorism. The ROK government has established a realistic control systems defense concept and in the US, the relevant authorities have set up several security frameworks to prepare for the threats. This paper presented various cyber security attack cases and their scenarios against control systems, along with the analysis of countermeasures for them. Though this task, we attempt to identify the items that need to be considered when designing a domestic security framework to improve security and secure stability.

A Study on the Counter-Terrorism and Security Strategy for Korean Companies Engaged in the Overseas Business (해외진출 한국 기업의 대테러 경호${\cdot}$경비 전략에 관한 연구)

  • Choi, Jin-Tai
    • Korean Security Journal
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    • no.13
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    • pp.507-528
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    • 2007
  • June 2006, five korean oil workers, three who worked for Daewoo and two for Korea Gas, released after being held hostage by separatist militants in Nigeria. The kidnapping was happened in the Niger Delta where armed separatists are demanding a larger share in oil revenues and compensation for environmental destruction due to oil exploration. Seven months later, nine Korean pipeline workers of Daewoo together with a Nigerian were kidnapped again and safely released thanks to the efforts of the company and the Korean government. These two kidnapping incidents have shown that companies engaged in the overseas business are not safe any more from the terrorist attacks and has given an invaluable lesson that the company having an intention to go abroad for business should take all possible anti and counter-measures against terrorism. The main purpose of this study is to suggest a guideline for the establishment of counter-terrorism and security strategy against terrorist attacks on the private companies at the overseas. In order to foster a better understanding of the problem, a brief history of terrorism is presented in the first part. In addition, this study analyses and describes the variations of terrorist attacks against private companies together with the terrorism related environment of Korea. Based on the outcome of the study, this paper takes a global view and perspectives of terrorist attacks against private companies and suggests consideration for the future.

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The Blackjack Game Strategy Using the True Count Method (True Count 기법에 의거한 블랙잭 게임 전략)

  • Kim, Byung-Soo
    • Journal of Korea Game Society
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    • v.5 no.2
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    • pp.11-18
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    • 2005
  • The effort to win the blackjack game in the casino has been taken globally. This article presents a game strategy to win the game based on the high-low rue count technic. This article will also identify the necessity of Kelly criterion and the betting strategies based on the standard is applied to the blackjack rules of Kangwon Land. By the way, bettings are distinguished as aggressive and conservative one and the simulations more than 2 million shoes has been performed. As a result, it is revealed that the aggressive betting is most advantageous in winning money while it implies the biggest risk.

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