期刊论文、会议论文

Liu, Yi-Ning

英文

Lecture Notes in Computer Science

0302-9743

2018

11125

506-518

14th International Conference on Information Security Practice and Experience (ISPEC)

Lecture Notes in Computer Science

SEP 25-27, 2018

Tokyo, JAPAN

[Liu, Yi-Ning;Wang, Yan-Ping] Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin, Peoples R China.^[Wang, Xiao-Fen] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu, Sichuan, Peoples R China.^[Xia, Zhe] Wuhan Univ Technol, Sch Comp Sci, Wuhan, Hubei, Peoples R China.^[Xu, Jingfang] Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China.

Hitachi Ltd, Mitsubishi Elect Corp, TOSHIBA Corp, Huawei Technologies Co Ltd, ANDISEC Ltd

Su, C Kikuchi, H

GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND

SPRINGER INTERNATIONAL PUBLISHING AG

978-3-319-99807-7; 978-3-319-99806-0

10.1007/978-3-319-99807-7_32

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61662016, 61772224]; GUET Excellent Graduate Thesis Program [16YJPYSS17]; Innovation Project of Guangxi Graduate Education [YCSW2017139]

本校为其他机构

Lack of reliable data is a major obstacle in some research works because users are unwilling to provide their own private data to any third parties directly. Since statistical inference is aimed to analyze the overall data of a well-defined group rather than a specific individual, the paradigm of privacy-preserving data collection scheme is proposed recently, which can motivate users to contribute their data to research works. In this paper, two probable properties that promote the success of sensing tasks are analyzed, and a fog-assisted data collection scheme for mobile phone sensing tasks i...