HashNET Blockchain Consensus for DLT Applications
Current Journal of Applied Science and Technology,
Page 1-12
DOI:
10.9734/cjast/2022/v41i431658
Abstract
Our modern world is becoming increasingly reliant on the processing, exchange and storage of information. This trend of so-called "digitalisation" is penetrating every pore of human civilisation, including nature, people, and machines; our economy and production, which must be as local as possible; and our global ecology. The use of information processing technology brings benefits to a wide range of endeavours. In this sense, many computing technologies and techniques must be used to achieve the goal of an integrated global service ecosystem, a Rainbow ecosystem of all hierarchical levels of computing.
One of the most important new developments in recent years is the development of blockchain technology. A blockchain can solve many problems of persistent and traceable storage, as well as enable direct coordination, compensation, etc. Therefore, in the Dew-Fog-Cloud hierarchy, blockchain technology is a promising new approach to enable novel applications in a variety of fields, from social and educational to scientific and industrial.
However, there are two important points in many implementations of the current blockchain which prevent them from being used for public service solutions. The first is the proof algorithm - the vast majority of proof-of-work algorithms do useless work and waste enormous amounts of energy. The second one is that proof-of-stake algorithm is not suitable for open public infrastructure.
The HashNET algorithm, which uses proof-of-authority combined with master nodes to achieve distributed consensus and ensure trust, is explained in detail in this paper.
As an example of future applications in science, education and society, we also briefly describe certificate validation and future application for scientific publications.
Keywords:
- Distributed ledger
- blockchain infrastructure
- HashNet consensus
- EBSI
How to Cite
References
Yu J, Kozhaya D, Decouchant J, Esteves-Verissimo P. RepuCoin: Your Reputation Is Your Power. IEEE Trans Comput. 2019;68:1225–1237. DOI: 10.1109/tc.2019.2900648.
Zou J, Ye B, Qu L, Wang Y, Orgun MA, Li L. A proof-of-trust consensus protocol for enhancing accountability in crowdsourcing services. IEEE Trans. Serv. Comput. 2019;12:429–445. DOI: 10.1109/tsc.2018.2823705
Alzahrani N, Bulusu N. Towards true decentralization: A blockchain consensus protocol based on game theory and randomness. In Lecture Notes in Computer Science. Springer International Publishing. 2018;465–485. DOI: 10.1007/978-3-030- 01554-1_27
Liu B, Liu M, Jiang X, Zhao F, Wang RA. Blockchain-based scheme for secure sharing of x-ray medical images. In Security with Intelligent Computing and Big-data Services. Springer International Publishing. 2019;29–42. DOI: 10.1007/978-3-030-16946- 6_3.
Domenico MD, Baronchelli A. The fragility of decentralised trustless socio-technical systems. EPJ Data Sci. 2019;8. DOI: 10.1140/epjds/s13688-018-0180-6
Yavuz E, Koc AK, Cabuk UC, Dalkilic G. Towards secure e-voting using ethereum blockchain. 6th ISDFS. IEEE; 2018. DOI: 10.1109/isdfs.2018.8355340
Nguyen GT, Kim KA. Survey about consensus algorithms used in blockchain. J. Inf. Process. Syst. 2018;14:101–128. DOI: 10.3745/JIPS.01.0024
Sharkey S, Tewari H. Alt-PoW: An alternative proof-of-work mechanism. DAPPCON. IEEE; 2019. DOI: 10.1109/dappcon.2019.00012
Puthal D, Mohanty SP. Proof of authentication: IoT-friendly blockchains. IEEE Potentials. 2019;38:26–29. DOI: 10.1109/mpot.2018.2850541
Lu Y. Blockchain: A survey on functions, applications and open issues. J. ind. integr. management. 2018;25(05):1850015. DOI: 10.1142/s242486221850015x
Chen Z, Chen S, Xu H, Hu B. A security authentication scheme of 5G ultra-dense network based on block chain. IEEE Access. 2018;6:55372–55379. DOI: 10.1109/access.2018.2871642
Shen C, Pena-Mora F. Blockchain for cities—A systematic literature review. IEEE 2018;6:76787–76819. DOI: 10.1109/access.2018.2880744
Digiconomist, Bitcoin Energy Consumption Index – Digiconomist; 2021. Available:https://digiconomist.net/bitcoin-energy-consumption, accessed 31. May .
Kiayias A, Russel A, David B, Oliynykov R. Ouroboros: A Provably secure proof-of-stake blockchain protocol. Advances in Cryptology – CRYPTO 2017, edited by Jonathan Katz and Hovav Shacham, Springer International Publishing. 2017; 10401:357–88. DOI: 10.1007/978-3-319-63688-7_12
Luk VWH, Wong AKS, Lea CT, Ouyang RW. RRG: redundancy reduced gossip protocol for real-time N-to-N dynamic group communication. J. Internet Serv. Appl. 2013;4(1):1-19.
Cormen TH, Leiserson CE, Rivest RL, Stein C. Introduction to algorithms, third edition, the MIT Press, Cambridge, Massachusetts; 2009.
Skala K, Davidović D, Afgan E, Sović I, Šojat Z. Scalable distributed computing hierarchy: cloud, fog and dew computing. OJCC. 2016;2(1):16-24. ISSN 2199-1987.
Skala K, Šojat Z. The rainbow global service ecosystem, DEWCOM 2018: The 3rd international workshop on dew computing, Toronto, Canada; 2018.
Šojat Z. From dew over cloud towards the rainbow: Ecosystem of the future: Nature—Human—Machine, In: Intelligence in Big Data Technologies—Beyond the Hype, Edition: Adv. Intell. Syst. Comput., Chapter: 1, Publisher: Springer Nature; 2020. DOI: 10.1007/978-981-15-5285-4_1
Wang Y. Dewblock: A blockchain system based on dew computing. Proceedings of The 3rd International Workshop on Dew Computing. 2018;34–38. DOI: 10.13140/RG.2.2.30585.31849.
Chohan UW. The decentralized autonomous organization and governance issues. Acessed December 4, 2017. Available:http://dx.doi.org/10.2139/ssrn.3082055.
Morrison R, Mazey NCHL and Wingreen SC. The DAO controversy: The case for a new species of corporate governance? Front. Blockchain. 2020;3:25. DOI: 10.3389/fbloc.2020.00025.
Anonymous, EAI Recognition - How it Works. Available:https://eai.eu/#!/recognition/how-it-works Accessed 14 July 2021.
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