A Lightweight, Secure, and Scalable Blockchain-Fog-IoMT Healthcare Framework with IPFS Data Storage for Healthcare 4.0

Mallick, Soubhagya Ranjan; Lenka, Rakesh Kumar; Tripathy, Pradyumna Kumar; Rao, D. Chandrasekhar; Sharma, Suraj; Ray, Niranjan Kumar

doi:10.1007/s42979-023-02511-8

Cited by 6 publications

(1 citation statement)

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“…However, BitTorrent heavily relies on seeders. If a file has limited seeders, the downloading speeds can be very slow, and a file may even become unavailable [23]. Moreover, there is no built-in mechanism for data mutability, and users need to rely on third-party solutions to guarantee the integrity of the data.…”

Section: Related Workmentioning

confidence: 99%

Robust-DSN: A Hybrid Distributed Replication and Encoding Network Grouped with a Distributed Swarm Workflow Scheduler

Hameed,

Barzegar,

Ioini

et al. 2024

Electronics

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In many distributed applications such as the Internet of Things (IoT), large amounts of data are being generated that require robust storage solutions. Traditional cloud solutions, although efficient, often lack trust and transparency because of centralized management. To address these issues, we present Robust-DSN, a distributed storage network leveraging the hybrid distributed replication and encoding network (HYDREN) and the distributed swarm workflow scheduler (DSWS) as its main components. Our system uses an interplanetary file system (IPFS) as an underlay storage network and segments it into multiple regions to distribute the failure domain and improve the data’s proximity to users. HYDREN incorporates Reed–Solomon encoding and distributed replication to improve file availability, while DSWS optimizes resource allocation across the network. The uploaded file is encoded into chunks and distributed across distinct optimal nodes leveraging lightweight multithreading. Additionally, Robust-DSN verifies the integrity of all chunks by preserving the hashes when uploading and validating each chunk while downloading. The proposed system provides a comprehensive solution for resilient distributed data storage, focusing on the key challenges of data availability, integrity, and performance. The results reveal that compared with a state-of-the-art system, the proposed system improves file recovery by 15%, even with a 50% peer failure rate. Furthermore, with replication factor 4 and the same failure resilience as IPFS, it saves 50% storage and enhances file recovery by 8%. Robust-DSN acts as a distributed storage platform for emerging technologies, expanding storage system capabilities in a wide range of distributed applications.

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Section: Related Workmentioning

confidence: 99%