CAGE: Consensus Algorithm Genetically Enhanced

Conference paper

Mitchell, I. and Kamil, M. 2023. CAGE: Consensus Algorithm Genetically Enhanced. Virtual 15th International Conference on Global Security, Safety & Sustainability. Online Springer.
TypeConference paper
TitleCAGE: Consensus Algorithm Genetically Enhanced
AuthorsMitchell, I. and Kamil, M.
Abstract

Blockchain is a disruptive technology and relies on the development of consensus algorithms, CA. Currently, there are many CAs proposed and this paper explores a new avenue of nature-inspired CAs. In particular, emphasis is on selection techniques used in canonical genetic algorithms, GAs, and fatiguing.
The premise is that selection techniques used in GAs could be adapted and used to select nodes responsible for adding blocks in permissioned blockchain networks. This was then tested on a blockchain network and executed many times and compared to another CA for permission blockchain networks, Proof-of-Elapsed-Time, PoET.
The results are interesting and show an improvement in transaction throughput and block creation. Our initial results, however, had a biased node selection and could be vulnerable to take-over attacks. Therefore, a fatiguing element was introduced and the experiments were repeated with the results showing a less biased node selection.
The overall contribution is the exploration of nature as a solution to CAs. The initial results are comparable and places better than existing CAs.

KeywordsBlockchain; Consensus Algorithms; Evolutionary Computation
Sustainable Development Goals12 Responsible consumption and production
Middlesex University ThemeSustainability
ConferenceVirtual 15th International Conference on Global Security, Safety & Sustainability
ISSN1613-5113
Electronic2363-9466
PublisherSpringer
Publication process dates
Deposited18 Apr 2023
Submitted06 Apr 2023
Accepted06 May 2023
Output statusPublished
First submitted version
File Access Level
Controlled
LanguageEnglish
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