메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Yoonyoung Cho (Kyunghee University) 정종필 (경희대학교)
저널정보
인하대학교 국제관계연구소 Pacific Focus Pacific Focus Vol.32 No.2
발행연도
2017.1
수록면
290 - 314 (25page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
This article analyzes the limitation of cooperation and the expansion of conflict between states in cyberspace. Like traditional security spaces around the world, global cyberspace is also an anarchy system with no absolute authority or institutional status. In such a situation, based on cyber sovereignty and cyber power, the state tries to create an institution applicable to domestic and international cyberspace to make a cyber system favorable to the state itself. Since, unlike traditional power, cyber power has both material and non-material elements, a state cannot know the level of another state’s cyber power. For this reason, conflicts among states in the cyber domain are intensifying. The most active states competing for the upper hand in cyberspace are the United States and China. They lead to different levels of recognition and strategies concerning the cyber domain. While the competition between the United States and China invites conflict, it also triggers temporary cooperation among states. The UN’s cybersecurity activities are also fragmented by various inter-government institutions and management organizations. However, the differences in strategy between the United States and China affect other states. Ultimately, although the direction of discussions on cybersecurity has been set based on the Group of Government Experts activities in the UN and the need for inter-state cooperation has been acknowledged, such cooperation would be only temporary because states consider domestic policy and strategy to be more important than international or regional cooperative organizations.

목차

등록된 정보가 없습니다.

참고문헌 (28)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0