지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2006.7
- 수록면
- 495 - 498 (4page)
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초록· 키워드
오류제보하기
Despite the recent advances in access control approaches applicable to home applications, there remain issues that impede the development of effective access control for home applications. Amongst them are lack of context-based models for access control, and reliance on identity or capability-based access control schemes. In this paper, we propose intelligent access control (IAC) model which extends the role-based access control (RBAC) with context constraints. Also we apply neural network algorithm for making access decisions. The IAC mechanisms dynamically grant and adapt permissions to users based on a set of contextual information collected from the home application environments, while retaining the advantages of role-based access control model.
목차
ABSTRACT
1. INTRODUCTION
2. BACKGROUND AND RELATED WORK
3. PROPOSED INTELLIGENT ACCESS CONTROL MODEL
6. CONCLUSIONS
7. REFERENCES
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UCI(KEPA) : I410-ECN-0101-2012-004-004247562