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Assuring Data Authenticity While Preserving User Choice in Mobile Sensing

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자료유형E-Book
개인저자Gilbert, Peter.
단체저자명Duke University. Computer Science.
서명/저자사항Assuring Data Authenticity While Preserving User Choice in Mobile Sensing.
발행사항[S.l.] : Duke University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항106 p.
소장본 주기School code: 0066.
ISBN9780355870145
일반주기 Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Adviser: Landon P. Cox.
이용제한사항This item is not available from ProQuest Dissertations & Theses.
요약As more services have come to rely on sensor data such as photos and audio collected by mobile phone users, verifying the authenticity of this data has become critical for service correctness. At the same time, contributors require the flexibili
요약To address certain cases where YouProve's approach is insufficient for evaluating modifications to photos, we introduce an alternative approach called pixel tracking. Pixel tracking uses dynamic taint analysis, or taint tracking, to monitor the
요약Experiments with prototype implementations of YouProve and pixel tracking for Android demonstrate that the approaches are feasible. YouProve's photo analyzer is over 99% accurate at identifying regions changed only through meaning-preserving mod
요약Our work on YouProve and pixel tracking demonstrates that it is possible to provide guarantees about data authenticity while preserving users' control over the data they contribute.
일반주제명Computer science.
언어영어
기본자료 저록Dissertation Abstracts International79-09B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14996723

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