已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

RDH-DES: Reversible Data Hiding over Distributed Encrypted-Image Servers Based on Secret Sharing

加密 服务器 计算机科学 秘密分享 信息隐藏 密码学 数据共享 块(置换群论) 争先恐后 图像共享 计算机安全 计算机网络 图像(数学) 算法 人工智能 数学 医学 替代医学 几何学 病理
作者
Lizhi Xiong,Xiao Han,Ching‐Nung Yang,Zhihua Xia
出处
期刊:ACM Transactions on Multimedia Computing, Communications, and Applications [Association for Computing Machinery]
卷期号:19 (1): 1-19 被引量:15
标识
DOI:10.1145/3512797
摘要

Reversible Data Hiding in Encrypted Image (RDHEI) schemes may redistribute the data hiding procedure to other parties and can preserve privacy of the cover image. Recently, cloud computing technology has led to the rapid growth of networked media, and many multimedia rights are owned by multiple parties, such as a film's producer and multiple distributors. Thus, the data hiding task could be distributed to multiple distributed servers. Multi-party data hiding has become an important demand for networked media. In addition, it is essential to preserve multi-server and multi-message privacy and data integrity. However, most of the RDHEI schemes involve only one data hider. That inspired us to design the secure multi-party embedding over distributed encrypted-image servers as a solution for multi-party RDHEI applications. In this article, we propose a novel Reversible Data Hiding over Distributed Encrypted-Image Servers (RDH-DES) based on secret sharing. The Chinese remainder theorem, secret sharing, and block-level scrambling are developed as a lightweight cryptography to generate the encrypted image shares. These shares are distributed to different image servers and are used to embed secret data in the proposed framework. The marked encrypted image can be constructed through the marked encrypted shares from different parties, and the decryption and extraction can be completed by the receiver. The experimental results and theoretical analysis have demonstrated that the proposed scheme is secure and effective.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
十月完成签到 ,获得积分10
1秒前
Zora完成签到 ,获得积分10
5秒前
5秒前
田様应助星桥火树彻明开采纳,获得10
7秒前
tumankol完成签到 ,获得积分10
7秒前
8秒前
mI完成签到 ,获得积分10
8秒前
8秒前
dengb0428发布了新的文献求助10
9秒前
慕青应助麦克采纳,获得10
9秒前
hhdr完成签到 ,获得积分10
12秒前
12秒前
李季完成签到,获得积分10
13秒前
大白发布了新的文献求助10
13秒前
spaghetti发布了新的文献求助10
16秒前
bkagyin应助水若冰寒采纳,获得10
17秒前
wang发布了新的文献求助30
17秒前
17秒前
18秒前
18秒前
勤劳的靳完成签到,获得积分20
21秒前
英俊的铭应助spaghetti采纳,获得10
23秒前
santoriny关注了科研通微信公众号
23秒前
wangxiaobin完成签到 ,获得积分10
23秒前
科研通AI6.1应助lh采纳,获得10
25秒前
慕青应助昏睡的樱采纳,获得10
25秒前
25秒前
莫欣宇完成签到 ,获得积分10
25秒前
26秒前
27秒前
王小杰发布了新的文献求助10
31秒前
31秒前
英俊的铭应助咸柴采纳,获得10
31秒前
胖虎不胖发布了新的文献求助10
33秒前
科研通AI6.3应助ou采纳,获得10
33秒前
西西弗斯完成签到,获得积分10
33秒前
33秒前
34秒前
MJH123456发布了新的文献求助10
35秒前
36秒前
高分求助中
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
GMP in Practice: Regulatory Expectations for the Pharmaceutical Industry 500
简明药物化学习题答案 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6298841
求助须知:如何正确求助?哪些是违规求助? 8115759
关于积分的说明 16990365
捐赠科研通 5360089
什么是DOI,文献DOI怎么找? 2847564
邀请新用户注册赠送积分活动 1825013
关于科研通互助平台的介绍 1679320