.png){kind=icon}
返回
EDCOMA: Enabling Efficient Double Compressed Auditing for Blockchain-Based Decentralized Storage
.png){kind=icon}
OA
AI
DOI：10.1109/TSC.2024.3417337.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Blockchain technology, known for its decentralized and immutable nature, serves as the foundation for various applications. As a prominent application of blockchain, decentralized storage is powered by blockchain technology and is expected to provide a reliable and cost-effective alternative to traditional centralized storage. A major challenge in blockchain-powered decentralized storage is how to guarantee the quality of storage services in decentralized storage nodes (DSNs). Storage auditing can ensure the integrity and security of the stored data. Unfortunately, it incurs additional computational costs for data owners and extra storage overheads for DSNs, which thereby cannot be directly applied to decentralized storage networks consisting of nodes with various computation and storage capacity. In this article, we overcome these problems and minimize additional burdens in storage auditing. We propose EDCOMA, a computation and storage efficient auditing scheme for blockchain-based decentralized storage, in which a double compression method is designed to compress data authenticators using both data and polynomial commitment. To prevent replay attacks on double compression launched by DSNs, we introduce zero knowledge proof and design a compression arithmetic circuit to guarantee the execution of compression operations in DSNs. We analyze the security of EDCOMA under the random oracle model and conduct extensive experiments to evaluate the performance of EDCOMA. Experimental results affirm that EDCOMA outperforms state-of-the-art approaches in both computational and storage efficiency.
Keyword:
Blockchains
Peer-to-peer computing
Cloud computing
Costs
Smart contracts
Data integrity
Computational efficiency
Decentralized storage
auditing
double compression
blockchain
期刊
IF:
5.8
论文数:
2.2K
被引数:
6.5K
机构
引用论文
Efficient Proofs of Retrievability with Public Verifiability for Dynamic Cloud Storage动态云存储可检索性与公开可验证性的有效证明OAAI
OAAI分享收藏A previously undescribed scene-selective site is the key to encoding ego-motion in naturalistic environments.png)
eLifeOAAI
eLifeIF0
OAAI分享收藏Temperature Compensation in Two Centrarchid Fishes: Do Winter-Quiescent Fish Undergo Cellular Temperature Compensation?两种太阳鱼中的温度补偿：处于冬季休眠状态的鱼类会经历细胞水平的温度补偿吗？
PREAI
分享收藏
查看更多内容