• 무역학회지
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• 제44권6호
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• pp.327-344
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• 2019

This paper explores the hub-and-spoke system as the structure of the global economic network that presents obstacles for international cooperation. With its exclusive jurisdiction and control over the hub, a powerful state can employ coercive economic measures to compel and deter unwanted behavior of rogue states and even its allies. Against this backdrop, this study analyzes the cases of the US blocking access to its market by Chinese Huawei as well as the case of Japan in restricting trade for highly advanced goods to South Korea. This analysis reveals that both measures are forms of secondary boycotts, which affect not only the entities within their jurisdiction but also others located in third countries. In addition, this paper extends its findings to free trade agreements and offers implications on the outward processing scheme for the Gaeseong Industrial Complex in the KORUS FTA and the Korea-China FTA. These events result in a gray-risk for South Korea, a country that aims to resolve North Korea's denuclearization and inter-Korean economic cooperation.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.272-282
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• 2022

Between 2014 and 2019, the US lost more than 2.1 billion USD to phishing attacks, according to the FBI's Internet Crime Complaint Center, and COVID-19 scam complaints totaled more than 1,200. Phishing attacks reflect these awful effects. Phishing websites (PWs) detection appear in the literature. Previous methods included maintaining a centralized blacklist that is manually updated, but newly created pseudonyms cannot be detected. Several recent studies utilized supervised machine learning (SML) algorithms and schemes to manipulate the PWs detection problem. URL extraction-based algorithms and schemes. These studies demonstrate that some classification algorithms are more effective on different data sets. However, for the phishing site detection problem, no widely known classifier has been developed. This study is aimed at identifying the features and schemes of SML that work best in the face of PWs across all publicly available phishing data sets. The Scikit Learn library has eight widely used classification algorithms configured for assessment on the public phishing datasets. Eight was tested. Later, classification algorithms were used to measure accuracy on three different datasets for statistically significant differences, along with the Welch t-test. Assemblies and neural networks outclass classical algorithms in this study. On three publicly accessible phishing datasets, eight traditional SML algorithms were evaluated, and the results were calculated in terms of classification accuracy and classifier ranking as shown in tables 4 and 8. Eventually, on severely unbalanced datasets, classifiers that obtained higher than 99.0 percent classification accuracy. Finally, the results show that this could also be adapted and outperforms conventional techniques with good precision.

• 한국콘텐츠학회논문지
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• 제19권8호
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• pp.399-411
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• 2019

본 연구는 현재 미국 공영방송 PBS TV에서 방영되고 있는 "Art 21C(Art in the 21st Century)"의 작품분석, Art 21 재단과 전담 제작진, 전략과 정책, 프로그램 역사, 활용방안과 교육 등의 사례연구를 통해 문화매체인 TV를 통한 예술교육의 정책적 지향과 전략적 방향에 대해 탐구해 보고자 한다. 먼저, 국내 관련 선행연구 점검을 필두로 영국과 프랑스, 독일 등 유럽지역의 공영방송을 통한 문화예술 교육 현황을 살펴본다. 편집원칙과 재원 그리고 의미와 가능성 등을 파악해 유럽을 아우르고 있는 예술교육 매체로서 TV방송을 살펴본다. 이를 바탕으로 미국 예술 교육의 든든한 지원자로 자임하고 있는 "Art 21C"의 시즌 별 작품연구, 제반 편집규정 그리고 운영정책 및 제작전략 등을 실제 제작진과의 인터뷰 등을 통해 면밀히 살펴, 국내 TV 매체를 통한 문화예술 교육의 활성화 방안을 모색함이 주 연구의 목적이다. 결론적으로 본 연구는 TV를 통한 문화예술 교육은 국가성장동력 차원의 체계적이고 단계적 그리고 통합적인 접근이 필요하며, 이를 바탕으로 한 예술 리터러시 교육이 정책적으로 뒷받침 되어야 한다고 주장한다. 세부 실천 사항으로 먼저, 토대구축 단계로써 전문인력양성, TV 예술 리터러시 교육 그리고 확장성장 단계로써 멀티 플랫폼, 국지전략(지역친화형)확립 마지막 세번째 장기구조 단계로써 TV를 활용한 예술교육 정책과 매체 제도 확립이 필요하다고 제언한다.