Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ariel J. Feldman"'
Publikováno v:
EuroSec@EuroSys
Distributed analytics systems enable users to efficiently perform computations over large distributed data sets. Recently, systems have been proposed that can additionally protect the data's privacy by keeping it encrypted even in memory and by perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1da23d72e4d23b537e9525f9e37a7e79
https://doi.org/10.1145/3193111.3193115
https://doi.org/10.1145/3193111.3193115
Publikováno v:
ASPLOS
Full-drive encryption (FDE) is especially important for mobile devices because they contain large quantities of sensitive data yet are easily lost or stolen. Unfortunately, the standard approach to FDE-the AES block cipher in XTS mode-is 3--5× slowe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::360096f940d9c66bf108cda868fdc726
https://doi.org/10.1145/3173162.3173183
https://doi.org/10.1145/3173162.3173183
Publikováno v:
ISCA
Most architectures are designed to mitigate the usually undesirable phenomenon of device wearout. We take a contrarian view and harness this phenomenon to create hardware security mechanisms that resist attacks by statistically enforcing an upper bou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2031af814bb3ab88bb4a90fde4b7c716
https://doi.org/10.1145/3079856.3080226
https://doi.org/10.1145/3079856.3080226
Autor:
Joseph A. Calandrino, Edward W. Felten, William Clarkson, Nadia Heninger, J. Alex Halderman, Ariel J. Feldman, William Paul, Seth D. Schoen, Jacob Appelbaum
Publikováno v:
Communications of the ACM. 52:91-98
Contrary to widespread assumption, dynamic RAM (DRAM), the main memory in most modern computers, retains its contents for several seconds after power is lost, even at room temperature and even if removed from a motherboard. Although DRAM becomes less
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c0f82dc24c679afefb2190eb1b260e6
https://doi.org/10.1145/1506409.1506429
https://doi.org/10.1145/1506409.1506429
Publikováno v:
EuroSys
Working with sensitive data is often a balancing act between privacy and integrity concerns. Consider, for instance, a medical researcher who has analyzed a patient database to judge the effectiveness of a new treatment and would now like to publish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a453ffe9ba6a33223412169c08d0169d
https://doi.org/10.1145/2741948.2741978
https://doi.org/10.1145/2741948.2741978
Autor:
Andrew J. Blumberg, Michael Walfish, Zuocheng Ren, Benjamin Braun, Srinath Setty, Ariel J. Feldman
Publikováno v:
SOSP
When a client outsources a job to a third party (e.g., the cloud), how can the client check the result, without re-executing the computation? Recent work in proof-based verifiable computation has made significant progress on this problem by incorpora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09f74e3760377d1ad099c8e2d35f500a
https://doi.org/10.1145/2517349.2522733
https://doi.org/10.1145/2517349.2522733