版权说明 操作指南
首页 > 成果 > 成果详情

A Secure Rotation Invariant LBP Feature Computation in Cloud Environment

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Wang, Shiqi;Jiang, Mingfang;Qin, Jiaohua;Yang, Hengfu;Gao, Zhichen
通讯作者:
Jiang, Mingfang(bingyuejiang@126.com)
作者机构:
[Wang, Shiqi] Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha 410004, Peoples R China.
[Jiang, Mingfang; Yang, Hengfu] Hunan First Normal Univ, Dept Informat Sci & Engn, Changsha 410205, Peoples R China.
[Qin, Jiaohua; Gao, Zhichen] SUNY Stony Brook, Coll Engn & Appl Sci, Dept Appl Math & Stat, Stony Brook, NY 11794 USA.
通讯机构:
[Jiang, M.] D
Department of Information Science and Engineering, China
语种:
英文
关键词:
Cloud computing;Image encryption;Privacy-preserving;Rotation invariant local binary pattern
期刊:
计算机、材料和连续体(英文)
ISSN:
1546-2218
年:
2021
卷:
68
期:
3
页码:
2979-2993
基金类别:
Funding Statement: This work was supported in part by the National Natural Science Foundation of China under Grant No. 61872408, the Natural Science Foundation of Hunan Province (2020JJ4238), the Social Science Fund of Hunan Province under Grant No. 16YBA102, and the Research Fund of Hunan Provincial Key Laboratory of informationization technology for basic education under Grant No. 2015TP1017.
机构署名:
本校为第一机构
院系归属:
计算机与信息工程学院
摘要:
In the era of big data, outsourcing massive data to a remote cloud server is a promising approach. Outsourcing storage and computation services can reduce storage costs and computational burdens. However, public cloud storage brings about new privacy and security concerns since the cloud servers can be shared by multiple users. Privacy-preserving feature extraction techniques are an effective solution to this issue. Because the Rotation Invariant Local Binary Pattern (RILBP) has been widely used in various image processing fields, we propose a ...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com