期刊论文

Li, Ruixuan

英文

Journal of Parallel and Distributed Computing

0743-7315

2020

137

224-237

10.1016/j.jpdc.2019.10.005

This work is supported by the National Key Research and Development Program of China under grants 2016YFB0800402 and 2016QY01W0202, National Natural Science Foundation of China under grants U1836204, U1936108, 61572221, 61433006, U1401258 and 61502185, and Major Projects of the National Social Science Foundation, China under grant 16ZDA092 and Guangxi High level innovation Team in Higher Education Institutions, China−Innovation Team of ASEAN Digital Cloud Big Data Security and Mining Technology. This work is also partly supported by the National Science Foundation, China under grant CNS 1526190. This work is supported by the National Key Research and Development Program of China under grants 2016YFB0800402 and 2016QY01W0202 , National Natural Science Foundation of China under grants U1836204 , U1936108 , 61572221 , 61433006 , U1401258 and 61502185 , and Major Projects of the National Social Science Foundation, China under grant 16ZDA092 and Guangxi High level innovation Team in Higher Education Institutions, China Innovation Team of ASEAN Digital Cloud Big Data Security and Mining Technology. This work is also partly supported by the National Science Foundation, China under grant CNS 1526190 .

本校为其他机构

Recently, oblivious random access machine (ORAM) has been widely used to prevent privacy leakage from user's access pattern. However, in multi-user scenarios, the obliviousness property of ORAM facilitates the malicious data modification by unauthorized users, which brings a new security challenge of user accountability to ORAM applications. Moreover, based on our observations, existing user accountability schemes for multi-user ORAM induce the extremely unacceptable overhead in both time and storage. What is worse, it is still inherent the tra...