Harnessing Tullock contests and signaling games: a novel weight assignment strategy for Ethereum 2.0
In this paper, we address key challenges in Proof-of-Stake (PoS) blockchains, with a particular focus on Ethereum 2.0. We introduce an innovative mechanism that combines Tullock contests and signaling games to optimize weight assignments based on security deposits from heterogeneous nodes. While Tul...
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sg-ntu-dr.10356-1818952024-12-30T01:35:46Z Harnessing Tullock contests and signaling games: a novel weight assignment strategy for Ethereum 2.0 Doe, Daniel Mawunyo Li, Jing Niyato, Dusit Hu, Yuqing Li, Jun Gao, Zhen Zhang, Xiao-Ping Han, Zhu College of Computing and Data Science Computer and Information Science Blockchain Security deposit In this paper, we address key challenges in Proof-of-Stake (PoS) blockchains, with a particular focus on Ethereum 2.0. We introduce an innovative mechanism that combines Tullock contests and signaling games to optimize weight assignments based on security deposits from heterogeneous nodes. While Tullock contests motivate participants to allocate resources for potential rewards, signaling games enable efficient information transfer, thereby enriching decision-making. This approach enhances network security, efficiency, and resilience by incentivizing resource investment and facilitating effective information exchange. Our framework significantly outperforms existing methods, achieving a 45.43% increase in blockchain utility and a 47.92% rise in node utility. Additionally, it yields marked improvements in user participation rates (26.89 - 32.21%) and service coverage (24 - 29.54%), and also proves to be resilient against attacks from selfish nodes. Published version This work was supported in part by the National Key Research and Development Project of China under Grant 2022YFE0111900; in part by NSF under Grant CNS-2107216, Grant CNS-2128368, Grant CMMI-2222810, and Grant ECCS-2302469; in part by the U.S. Department of Transportation; in part by Toyota; in part by Amazon; and in part by the Japan Science and Technology Agency (JST) Adopting Sustainable Partnerships for Innovative Research Ecosystem (ASPIRE) under Grant JPMJAP2326. 2024-12-30T01:35:46Z 2024-12-30T01:35:46Z 2024 Journal Article Doe, D. M., Li, J., Niyato, D., Hu, Y., Li, J., Gao, Z., Zhang, X. & Han, Z. (2024). Harnessing Tullock contests and signaling games: a novel weight assignment strategy for Ethereum 2.0. IEEE Open Journal of the Communications Society, 5, 5782-5798. https://dx.doi.org/10.1109/OJCOMS.2024.3455769 2644-125X https://hdl.handle.net/10356/181895 10.1109/OJCOMS.2024.3455769 2-s2.0-85203538429 5 5782 5798 en IEEE Open Journal of the Communications Society © 2024 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. application/pdf |
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Computer and Information Science Blockchain Security deposit Doe, Daniel Mawunyo Li, Jing Niyato, Dusit Hu, Yuqing Li, Jun Gao, Zhen Zhang, Xiao-Ping Han, Zhu Harnessing Tullock contests and signaling games: a novel weight assignment strategy for Ethereum 2.0 |
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In this paper, we address key challenges in Proof-of-Stake (PoS) blockchains, with a particular focus on Ethereum 2.0. We introduce an innovative mechanism that combines Tullock contests and signaling games to optimize weight assignments based on security deposits from heterogeneous nodes. While Tullock contests motivate participants to allocate resources for potential rewards, signaling games enable efficient information transfer, thereby enriching decision-making. This approach enhances network security, efficiency, and resilience by incentivizing resource investment and facilitating effective information exchange. Our framework significantly outperforms existing methods, achieving a 45.43% increase in blockchain utility and a 47.92% rise in node utility. Additionally, it yields marked improvements in user participation rates (26.89 - 32.21%) and service coverage (24 - 29.54%), and also proves to be resilient against attacks from selfish nodes. |
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College of Computing and Data Science |
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College of Computing and Data Science Doe, Daniel Mawunyo Li, Jing Niyato, Dusit Hu, Yuqing Li, Jun Gao, Zhen Zhang, Xiao-Ping Han, Zhu |
format |
Article |
author |
Doe, Daniel Mawunyo Li, Jing Niyato, Dusit Hu, Yuqing Li, Jun Gao, Zhen Zhang, Xiao-Ping Han, Zhu |
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Doe, Daniel Mawunyo |
title |
Harnessing Tullock contests and signaling games: a novel weight assignment strategy for Ethereum 2.0 |
title_short |
Harnessing Tullock contests and signaling games: a novel weight assignment strategy for Ethereum 2.0 |
title_full |
Harnessing Tullock contests and signaling games: a novel weight assignment strategy for Ethereum 2.0 |
title_fullStr |
Harnessing Tullock contests and signaling games: a novel weight assignment strategy for Ethereum 2.0 |
title_full_unstemmed |
Harnessing Tullock contests and signaling games: a novel weight assignment strategy for Ethereum 2.0 |
title_sort |
harnessing tullock contests and signaling games: a novel weight assignment strategy for ethereum 2.0 |
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2024 |
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https://hdl.handle.net/10356/181895 |
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1820027785553379328 |