자료유형 | 학위논문 |
---|---|
서명/저자사항 | A Trust Management Framework for Decision Support Systems. |
개인저자 | Ruan, Yefeng. |
단체저자명 | Purdue University. Consumer Science. |
발행사항 | [S.l.]: Purdue University., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 159 p. |
기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
ISBN | 9780438019553 |
학위논문주기 | Thesis (Ph.D.)--Purdue University, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisers: Arjan Durresi |
요약 | In the era of information explosion, it is critical to develop a framework which can extract useful information and help people to make "educated" decisions. In our lives, whether we are aware of it, trust has turned out to be very helpful for u |
요약 | Inspired by the similarities between human trust and physical measurements, this dissertation proposes a measurement theory based trust management framework. It consists of three phases: trust modeling, trust inference, and decision making. Inst |
요약 | This dissertation also adapts the measurement theory based trust management framework for two decision support applications. In the first application, the real stock market data is used as ground truth for the measurement theory based trust mana |
요약 | In the second application, the measurement theory based trust management framework is used to help to detect and prevent from being attacked in cloud computing scenarios. In this application, each single flow is treated as a measurement. The sim |
일반주제명 | Computer science. Web studies. |
언어 | 영어 |
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: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |