2022
DOI: 10.1109/access.2022.3188123
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A Systematic Literature Review Toward a Blockchain Benchmarking Framework

Abstract: Blockchain is a disruptive technology that focuses on the safe exchange of data between several distributed applications. Despite its widespread adoption, there are areas that require further research towards the understanding of their performance characteristics. In addition, consensus algorithms, a vital part of blockchain, require a more comprehensive understanding of their technical principles and characteristics. Along with the design of different types of consensus algorithms, several challenges, such as… Show more

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Cited by 24 publications
(15 citation statements)
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References 52 publications
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“…A different set of prospects for a variety of industries has opened up by the development of blockchain and its fusion with Artificial intelligence and machine learning. Prospective blockchain initiatives may frequently involve using AI to solve blockchain trilemma [10]. Furthermore, it appears that blockchain offers multiple opportunities for current AI models to be improved, such as by empowering marketplaces to cut the operating costs for AI services or by assisting both humans and AI in understanding the reasoning behind a given conclusion reached by the AI engine.…”
Section: Platforms With Ai-based Smart Contractsmentioning
confidence: 99%
“…A different set of prospects for a variety of industries has opened up by the development of blockchain and its fusion with Artificial intelligence and machine learning. Prospective blockchain initiatives may frequently involve using AI to solve blockchain trilemma [10]. Furthermore, it appears that blockchain offers multiple opportunities for current AI models to be improved, such as by empowering marketplaces to cut the operating costs for AI services or by assisting both humans and AI in understanding the reasoning behind a given conclusion reached by the AI engine.…”
Section: Platforms With Ai-based Smart Contractsmentioning
confidence: 99%
“…Some authors have focused on the price of the Bitcoin and analysis of financial bubbles (Agosto and Cafferata 2020;Azamjon et al 2016;Gibbons 2018, 2019;Butek 2016;Deutsch 2018;Fantazzini and Kolodin 2020;John et al 2022;Kiffer and Rajaraman 2021;M'bakob 2024;Phiri 2022;Prasad 2022;Riposo 2023;Sedlmeir et al 2020;Wu and Hossain 2023), and others on the prediction of future developments (Cuthbertson 2024;Katanich 2024). Some researchers' works compare the development not only of Bitcoin but also of other cryptocurrencies (Albrecher et al 2022;Bakhtiar et al 2023;Cengiz 2021;Gkillas and Longin 2019;Katanich 2024;Kawaguchi and Noda 2022;Lucking et al 2019;Rashid et al 2023;Sen and Jena 2022;Singla et al 2023;Touloupou et al 2022;Trucíos and Taylor 2023;Vaddadi et al 2023;Yuan et al 2022). A different point of view was used in other works (Bâra and Oprea 2024;Eksi and Schreitl 2022;Hayes 2015;Lasi and Saul 2020;Samizadeh 2024a;Jiménez et al 2024), with use of models to analyse and predict the market and price changes.…”
Section: Introductionmentioning
confidence: 99%
“…In this context, a promising approach is to develop hybrid consensus models that combine the best features of different consensus mechanisms. One such hybrid model is the trust-based consensus model, which relies on a reputation system to assign trust scores to nodes based on their past behavior and interactions [13,14,15]. This model can improve the security of the network by preventing malicious nodes from gaining significant influence and by incentivizing honest behavior during mining operations.…”
Section: Introductionmentioning
confidence: 99%