Proof of learning: Two Novel Consensus mechanisms for data validation using Blockchain Technology in Water Distribution System
Mahmoud, Haitham and Wu, Wenyan and Wang, Y. (2022) Proof of learning: Two Novel Consensus mechanisms for data validation using Blockchain Technology in Water Distribution System. In: 27th International Conference on Automation & Computing, 1st - 3rd September 2022, Bristol.
Preview |
Text
PoL_HM - Final.pdf - Accepted Version Download (486kB) |
Abstract
This paper proposes an architecture of a data validation system for Water distribution system (WDS) utilising machine learning as two consensus mechanisms instead of the typical consensus mechanism based on the hashing function. The two consensus mechanisms are called Proof-of-single-learning (PoSL) and Proof-of-multiple learning (PoML) in which the data is validated based on the learning. These two novel methods are compared with the other five hashing-based consensus mechanisms: Proof-ofWork (PoW), Proof-of-Trust (PoT), Proof-of-Vote (PoV), Proof-of-Assignment (PoA), and proof-of-Authentication (PoAuth) for evaluation. Five case studies of WDS are applied and three performance metrics, and two data conversion methods are utilised. Throughput, latency and operations per transaction (OpT are investigated to evaluate the proposed
system
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Identification Number: | 10.1109/ICAC55051.2022.9911156 |
Dates: | Date Event 15 July 2022 Accepted 10 October 2022 Published Online |
Uncontrolled Keywords: | measurement, automation, computational modeling, optimized production technology, machine learning, throughput, water pollution |
Subjects: | CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-08 - electrical and electronic engineering |
Divisions: | Faculty of Computing, Engineering and the Built Environment > College of Engineering |
Depositing User: | Haitham Mahmoud |
Date Deposited: | 07 Dec 2022 14:40 |
Last Modified: | 20 Jun 2024 11:50 |
URI: | https://www.open-access.bcu.ac.uk/id/eprint/13679 |
Actions (login required)
![]() |
View Item |