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020 ▼a 9780355870145
035 ▼a (MiAaPQ)AAI10681969
035 ▼a (MiAaPQ)duke:14385
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 004
1001 ▼a Gilbert, Peter.
24510 ▼a Assuring Data Authenticity While Preserving User Choice in Mobile Sensing.
260 ▼a [S.l.] : ▼b Duke University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 106 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
500 ▼a Adviser: Landon P. Cox.
5021 ▼a Thesis (Ph.D.)--Duke University, 2018.
506 ▼a This item is not available from ProQuest Dissertations & Theses.
520 ▼a As 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
520 ▼a To 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
520 ▼a Experiments 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
520 ▼a Our 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.
590 ▼a School code: 0066.
650 4 ▼a Computer science.
690 ▼a 0984
71020 ▼a Duke University. ▼b Computer Science.
7730 ▼t Dissertation Abstracts International ▼g 79-09B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0066
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996723 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자