Enabling Verifiable Search and Integrity Auditing in Encrypted Decentralized Storage Using One Proof

可验证秘密共享 加密 计算机科学 审计 数据完整性 块链 计算机安全 理论计算机科学 程序设计语言 会计 业务 集合(抽象数据类型)
作者
Mingyang Song,Zhongyun Hua,Yifeng Zheng,Qing Liao,Xiaohua Jia
出处
期刊:IEEE Transactions on Computers [Institute of Electrical and Electronics Engineers]
卷期号:74 (8): 2731-2744
标识
DOI:10.1109/tc.2025.3569182
摘要

Due to the properties of autonomy and scalability, decentralized storage networks (DSNs) leveraging blockchain technology have attracted growing attention. Integrity auditing and verifiable searchable encryption are two essential functions for DSNs. The former ensures reliable and fair storage services, while the latter enables users to conduct keyword searches over encrypted data and guarantees the public verifiability of search results. However, all existing research in DSN has focused either on integrity auditing or on verifiable searchable encryption separately. In this paper, we propose a novel scheme for encrypted decentralized storage that simultaneously supports verifiable search and integrity auditing. It employs a unified proof and supports one-time proof verification to validate both the correctness of the returned file identifiers and the integrity of the files associated with these identifiers. As a result, compared to previous schemes supporting only integrity auditing, our scheme maintains a similar proof size and the support for search result verification does not significantly increase the on-chain storage overhead. Additionally, our scheme allows users to dynamically update their outsourced files while ensuring forward security during the file insertion process. We formally analyze the correctness and security of our scheme, and implement a system prototype to evaluate its performance. The experimental results demonstrate that it achieves verifiable searchable encryption and integrity auditing with practically affordable overhead.
最长约 10秒,即可获得该文献文件

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
1秒前
ly发布了新的文献求助10
1秒前
1秒前
home完成签到,获得积分10
2秒前
杜兰特工队完成签到,获得积分10
2秒前
欻欻欻完成签到,获得积分10
2秒前
玩是罪恶的完成签到,获得积分10
2秒前
Sunny发布了新的文献求助10
3秒前
4秒前
4秒前
笑点低的小蘑菇完成签到,获得积分10
4秒前
科研通AI6.2应助熊大采纳,获得10
4秒前
共享精神应助高远亮采纳,获得10
5秒前
5秒前
5秒前
Jasper应助你还要猫怎样采纳,获得10
6秒前
李爱国应助JERRY采纳,获得10
6秒前
香蕉觅云应助Bonaventure采纳,获得10
6秒前
wjk完成签到,获得积分10
6秒前
立na完成签到,获得积分10
7秒前
CodeCraft应助从容山槐采纳,获得10
7秒前
7秒前
chemchen发布了新的文献求助10
7秒前
ben完成签到,获得积分10
7秒前
jingjing完成签到,获得积分10
8秒前
丘比特应助77采纳,获得10
8秒前
微笑香薇完成签到,获得积分10
9秒前
9秒前
强健的芷天完成签到 ,获得积分10
10秒前
10秒前
迅速雨琴发布了新的文献求助10
10秒前
10秒前
Wang发布了新的文献求助10
11秒前
11秒前
12秒前
13秒前
xiang应助肖肖采纳,获得20
14秒前
15秒前
慕青应助maowei采纳,获得10
15秒前
Unicorn发布了新的文献求助10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7629705
求助须知:如何正确求助?哪些是违规求助? 9204069
关于积分的说明 19736982
捐赠科研通 7199182
什么是DOI,文献DOI怎么找? 3274314
关于科研通互助平台的介绍 2436445
邀请新用户注册赠送积分活动 2270480