BFT-DSN: A Byzantine Fault Tolerant Decentralized Storage Network
- URL: http://arxiv.org/abs/2402.12889v1
- Date: Tue, 20 Feb 2024 10:33:45 GMT
- Title: BFT-DSN: A Byzantine Fault Tolerant Decentralized Storage Network
- Authors: Hechuan Guo, Minghui Xu, Jiahao Zhang, Chunchi Liu, Rajiv Ranjan, Dongxiao Yu, Xiuzhen Cheng,
- Abstract summary: Decentralized storage networks (DSNs) provide robust, decentralized storage services for decentralized applications (dApps)
Existing DSNs do not offer verifiability when implementing erasure coding for redundant storage.
There is a lack of Byzantine fault-tolerant consensus for optimal resilience in DSNs.
This paper introduces BFT-DSN, a Byzantine fault-tolerant decentralized storage network designed to address these challenges.
- Score: 26.618459559421442
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: With the rapid development of blockchain and its applications, the amount of data stored on decentralized storage networks (DSNs) has grown exponentially. DSNs bring together affordable storage resources from around the world to provide robust, decentralized storage services for tens of thousands of decentralized applications (dApps). However, existing DSNs do not offer verifiability when implementing erasure coding for redundant storage, making them vulnerable to Byzantine encoders. Additionally, there is a lack of Byzantine fault-tolerant consensus for optimal resilience in DSNs. This paper introduces BFT-DSN, a Byzantine fault-tolerant decentralized storage network designed to address these challenges. BFT-DSN combines storage-weighted BFT consensus with erasure coding and incorporates homomorphic fingerprints and weighted threshold signatures for decentralized verification. The implementation of BFT-DSN demonstrates its comparable performance in terms of storage cost and latency as well as superior performance in Byzantine resilience when compared to existing industrial decentralized storage networks.
Related papers
- Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis [50.18156030818883]
Anomaly and missing data constitute a thorny problem in industrial applications.
Deep learning enabled anomaly detection has emerged as a critical direction.
The data collected in edge devices contain user privacy.
arXiv Detail & Related papers (2024-11-06T15:38:31Z) - DBNode: A Decentralized Storage System for Big Data Storage in Consortium Blockchains [2.474908349649168]
This paper proposes a decentralized storage system for Hyperledger Fabric.
We employ erasure coding to partition files, then organize these chunks into a hierarchical structure.
We design a two-layer hash-slots mechanism and a mirror strategy, enabling high data availability.
arXiv Detail & Related papers (2024-09-30T09:22:15Z) - Hidden Risks: The Centralization of NFT Metadata and What It Means for the Market [1.4886278504056065]
The rapid expansion of the non-fungible token (NFT) market has unveiled critical challenges related to the storage and distribution of associated metadata.
This paper examines the current landscape of NFT metadata storage, revealing a significant reliance on centralized platforms.
Decentralized storage solutions, particularly the InterPlanetary File System (IPFS), were identified as a more secure and resilient alternative.
arXiv Detail & Related papers (2024-08-22T14:29:29Z) - Verifiable Decentralized IPFS Cluster: Unlocking Trustworthy Data Permanency for Off-Chain Storage [0.0]
This paper introduces Verifiable Decentralized IPFS Clusters (VDICs) to enhance off-chain storage reliability with verifiable data permanency guarantees.
Performance evaluations demonstrate that VDICs are competitive with traditional pinning services.
arXiv Detail & Related papers (2024-08-09T08:26:55Z) - Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks [60.54852710216738]
We introduce a novel digital twin-assisted optimization framework, called D-REC, to ensure reliable caching in nextG wireless networks.
By incorporating reliability modules into a constrained decision process, D-REC can adaptively adjust actions, rewards, and states to comply with advantageous constraints.
arXiv Detail & Related papers (2024-06-29T02:40:28Z) - Haina Storage: A Decentralized Secure Storage Framework Based on Improved Blockchain Structure [8.876894626151797]
Decentralized storage based on the blockchain can effectively realize secure data storage on cloud services.
However, there are still some problems in the existing schemes, such as low storage capacity and low efficiency.
We propose a novel decentralized storage framework, which mainly includes four aspects.
arXiv Detail & Related papers (2024-04-02T02:56:27Z) - FileDES: A Secure Scalable and Succinct Decentralized Encrypted Storage Network [30.775493810737192]
Decentralized Storage Network (DSN) is an emerging technology that challenges traditional cloud-based storage systems.
We propose FileDES, which incorporates three essential elements: privacy preservation, scalable storage proof, and batch verification.
Our protocol outperforms the others in terms of proof generation/verification efficiency, storage costs, and scalability.
arXiv Detail & Related papers (2024-03-22T06:41:30Z) - Neural Network Compression for Noisy Storage Devices [71.4102472611862]
Conventionally, model compression and physical storage are decoupled.
This approach forces the storage to treat each bit of the compressed model equally, and to dedicate the same amount of resources to each bit.
We propose a radically different approach that: (i) employs analog memories to maximize the capacity of each memory cell, and (ii) jointly optimize model compression and physical storage to maximize memory utility.
arXiv Detail & Related papers (2021-02-15T18:19:07Z) - Regulation conform DLT-operable payment adapter based on trustless -
justified trust combined generalized state channels [77.34726150561087]
Economy of Things (EoT) will be based on software agents running on peer-to-peer trustless networks.
We give an overview of current solutions that differ in their fundamental values and technological possibilities.
We propose to combine the strengths of the crypto based, decentralized trustless elements with established and well regulated means of payment.
arXiv Detail & Related papers (2020-07-03T10:45:55Z) - Byzantine-resilient Decentralized Stochastic Gradient Descent [85.15773446094576]
We present an in-depth study towards the Byzantine resilience of decentralized learning systems.
We propose UBAR, a novel algorithm to enhance decentralized learning with Byzantine Fault Tolerance.
arXiv Detail & Related papers (2020-02-20T05:11:04Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.