Abstract
We propose a consortium-based distributed ledger (Blockchain) consensus algorithm overcoming the classical problems of Byzantine Fault Tolerant (BFT) consensus algorithms. The identified issues concerning Byzantine algorithms are scalability, performance, and attack resilience. These factors inspire us to conceive our novel consensus algorithm CUBA. CUBA expands to Contesting Utilitarian Byzantine Agreement which evaluates and valorizes each consensus action as a Utilitarian metric of the gamified participants in the network. The obtained utilitarian metrics are used as feedback to reorganize the network for faster performance of the network consensus or for being resilient to the malicious activity noticed. This consensus protocol is designed to sustain or increase the Utilitarian happiness in a Byzantine environment of identified participants for the network’s liveness, safety, performance, and scalability. Evaluation results show an improved throughput, scalability, and malicious resilience compared to Proof of Authority protocols like PBFT, IBFT, and QBFT, as well as comparable to Clique for consortium Distributed Ledger networks.
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Samuel, C.N., Verdier, F., Glock, S., Guitton-Ouhamou, P. (2023). CUBA: An Evolutionary Consortium Oriented Distributed Ledger Byzantine Consensus Algorithm. In: Ossowski, S., Sitek, P., Analide, C., Marreiros, G., Chamoso, P., Rodríguez, S. (eds) Distributed Computing and Artificial Intelligence, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 740. Springer, Cham. https://doi.org/10.1007/978-3-031-38333-5_4
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