TARAS : trust-aware role-based access control system in the public Internet-of-Things = 공공 사물인터넷 환경에서의 신뢰도 인지 역할 기반 접근 제어 시스템trust-aware role-based access control system in the public Internet-of-Things

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In recent years, an Internet of Things (IoT) environment is growing remarkably and smart objects are located in every space, including a public place. Although a role-based access control system (RBAC) is widely adopted as a part of an information security technique in an IoT environment, the scalability issue caused by role explosion make manual management of system administrators difficult. A trust-based access control system is proposed as a solution, it also requires manual authorization management by the system administrator. As a solution of the administrative issue, an adaptive access control system based on a behavior detection mechanism is proposed. Authorization decision in a public IoT place, users are mostly mobile and stay for a while and leave. In such an environment, risk analysis based on continuous behavior detection is insufficient. This paper propose an extended role-based access control model that access rights is determined adaptively, even for unknown requesters. The model uses MAPE-K feedback loop model and the trust management model for self-adaptation and I-sharing mechanism, which is based on a similarity of human groups, for initial authorization of unknown requesters.
Advisors
Lee, Dongmanresearcher이동만researcher
Description
한국과학기술원 :정보보호대학원,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 정보보호대학원, 2018.2,[iv, 24 p. :]

Keywords

Internet of things▼aAccess control▼aself-configuring▼atrust management▼arole-based; 사물 인터넷▼a접근 제어▼a자가 구성▼a신뢰도 관리▼a역할 기반

URI
http://hdl.handle.net/10203/267176
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=734114&flag=dissertation
Appears in Collection
IS-Theses_Master(석사논문)
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