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Author:

Kan, Jia (Kan, Jia.) | Kim, Kyeong Soo (Kim, Kyeong Soo.)

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Abstract:

The blockchain technology has been changing our daily lives since Bitcoin-i.e., the first decentralized cryptocurrency-was invented and released as open-source software by an unidentified person or a group called Satoshi Nakamoto in 2009. Of many applications which can be implemented based on the blockchain, storage is an important one, a notable example of which is the InterPlanetary File System (IPFS). IPFS is a distributed web based on a peer-To-peer hypermedia protocol to make the web faster, safer, and more open and focuses on public accessible files. To provide a solution for private file storage in the blockchain way, in this paper we propose a Merkle-Tree-based File System (MTFS). In MTFS, the blockchain is more than a trust machine; it is an abstract of a cluster system. Distributed random nodes form a tree network cluster without a central controller to provide a secure private storage service and faster message propagation. Advance proxy re-encryption algorithm is applied to guarantee secure file exchanges under permission. Merkle tree will make sure that the files are distributed among the service nodes in a balanced way. The proposed MTFS can be used not only for personal file storage and exchange but also for industry requiring mutual trust in file uploading and downloading in making contracts like insurances. © 2019 IEEE.

Keyword:

Blockchain Chromium compounds Concrete buildings Cryptography Electronic money File organization Open source software Open systems Peer to peer networks

Author Community:

  • [ 1 ] [Kan, Jia]Department of Electrical and Electronic Engineering, Xi'An Jiaotong-Liverpool University, Suzhou, China
  • [ 2 ] [Kim, Kyeong Soo]Department of Electrical and Electronic Engineering, Xi'An Jiaotong-Liverpool University, Suzhou, China

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Year: 2019

Page: 43-47

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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