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008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438402089
035 ▼a (MiAaPQ)AAI10844636
035 ▼a (MiAaPQ)umd:19336
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 004
1001 ▼a Wang, Xiao.
24512 ▼a A New Paradigm for Practical Maliciously Secure Multi-party Computation.
260 ▼a [S.l.] : ▼b University of Maryland, College Park., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 172 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
500 ▼a Adviser: Jonathan Katz.
5021 ▼a Thesis (Ph.D.)--University of Maryland, College Park, 2018.
520 ▼a Secure Multi-Party Computation (MPC) protocols allow a group of mutually distrusting users to compute a function jointly on their inputs without revealing any information beyond the output. For many years, implementations of MPC protocols have t
520 ▼a This thesis introduces a new paradigm to construct extremely efficient MPC protocols with malicious security. In particular, this thesis consists of three major contributions. (1) We introduce the authenticated garbling framework, and present an
590 ▼a School code: 0117.
650 4 ▼a Computer science.
690 ▼a 0984
71020 ▼a University of Maryland, College Park. ▼b Computer Science.
7730 ▼t Dissertation Abstracts International ▼g 80-02B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0117
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000000 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자