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020 ▼a 9780438019553
035 ▼a (MiAaPQ)AAI10791114
035 ▼a (MiAaPQ)purdue:22483
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 004
1001 ▼a Ruan, Yefeng.
24512 ▼a A Trust Management Framework for Decision Support Systems.
260 ▼a [S.l.]: ▼b Purdue University., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 159 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Advisers: Arjan Durresi
5021 ▼a Thesis (Ph.D.)--Purdue University, 2018.
520 ▼a 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
520 ▼a 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
520 ▼a 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
520 ▼a 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
590 ▼a School code: 0183.
650 4 ▼a Computer science.
650 4 ▼a Web studies.
690 ▼a 0984
690 ▼a 0646
71020 ▼a Purdue University. ▼b Consumer Science.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0183
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997622 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033