arrow
返回

Blockchain-Based Compact Verifiable Data Streaming With Self-Auditing

delete2024-07-01
delete3
PRE
AI
G
Guohua Tian
J
Jianghong Wei
M
Meixia Miao
F
Fuchun Guo
W
Willy Susilo
陈晓峰 封面图
陈晓峰 (Xiaofeng Chen) *
DOI:10.1109/TDSC.2023.3340208delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The primitive of verifiable data streaming (VDS) provides a secure data outsourcing solution for resource-constrained users, that is, they can stream their continuously-generated data items to untrusted servers while enabling publicly verifiable query and update. However, existing VDS schemes either require the server to store the authentication tags of all data items to support data query and auditing, or bind all data items into a constant-size tag to achieve optimal storage on the server side, but cannot achieve public auditing. To close this gap, in this article, we first design a novel authentication data structure, dubbed retrievable homomorphic verifiable tags (RHVTs), which allows users to aggregate the authentication tags of all data items into a constant-size tag, and enables them to retrieve the original tags from the aggregated tag when necessary. Based on this, we propose a compact verifiable and auditable data streaming (CVADS) scheme, which adopts a single-level authentication mechanism to achieve more efficient data append and update, as well as optimal storage and public auditing. For better robustness and performance, we introduce a nested dual-level authentication mechanism and propose a blockchain-based CVADS (BCVADS) scheme to achieve a distributed CVADS with self-auditing. Finally, we prove the security of our schemes in the random oracle model and demonstrate their practicality through a visual performance evaluation.
Keyword:
Blockchain
verifiable data streaming
retrievable homomorphic verifiable tags
optimal storage
public auditing
Blockchain
verifiable data streaming
retrievable homomorphic verifiable tags
optimal storage
public auditing

期刊

IEEE Transactions on Dependable and Secure Computing 封面图
IEEE Transactions on Dependable and Secure Computing
IF:
7.5
论文数:
2.6K
被引数:
9.6K

机构

U
University of Wollongong
学者数:
1.3W
论文数: 1.6W
被引数: 2.8W
P
pla information engineering university
学者数:
2.8K
论文数: 1.6K
被引数: 2
X
Xidian University
学者数:
2.4W
论文数: 1.9W
被引数: 9.7K
学者 查看更多机构
引用论文

引用论文

暂无论文信息