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
저널정보
한국경영법률학회 경영법률 경영법률 제25권 제4호
발행연도
2015.1
수록면
459 - 478 (20page)

이용수

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

초록· 키워드

오류제보하기
Information Society are the collection and distribution of information make it easier progresses. This phenomenon has created an environment in which to send and collect the credit information in a financial institution is a major role in financial transactions quickly and easily, but can also be expected problem of illegal use and misuse of it. A series of recent cases of information leakage and abuse may occur in the real concern was, because of this there was a revision of the Use and Protection of Credit Information Act(hereinafter refer to the Credit Information Act - Credit Information Act is the concept of credit information, credit information on licensing agent, a law comprehensively regulated the management of credit and sanctions.) In this paper, and to deal with the information related to the protection of personal credit information, protect information, especially around the Credit Information Act, proactive protection means that are introduced or strengthened in particular in order to strengthen the protection of the amended credit personal credit information law (collect), separated by a reactive protective measures (sanctions) were investigated and reviewed and problems related to it. Overall, revision information for law succeeded in preventing the illegal use of credit information to credit information supplier, but the limiting factor is often the criticism that the recent financial industry has been the driving force behind the Pin-Tech Industrial development pose. For one thing, it is important to maintain relevant information, illegal use of credit information does support the true attitude of industry would have to be done first.

목차

등록된 정보가 없습니다.

참고문헌 (13)

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