TY - GEN
T1 - Reward Mechanism for Blockchains Using Evolutionary Game Theory
AU - Motepalli, Shashank
AU - Jacobsen, Hans Arno
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/9/27
Y1 - 2021/9/27
N2 - Blockchains have witnessed widespread adoption in the past decade in various fields. The growing demand makes their scalability and sustainability challenges more evident than ever. As a result, more and more blockchains have begun to adopt proof-of-stake (PoS) consensus protocols to address those challenges. One of the fundamental characteristics of any blockchain technology is its crypto-economics and incentives. Lately, each PoS blockchain has designed a unique reward mechanism, yet, many of them are prone to free-rider and nothing-at-stake problems. To better understand the ad-hoc design of reward mechanisms, in this paper, we develop a reward mechanism framework that could apply to many PoS blockchains. We formulate the block validation game wherein the rewards are distributed for validating the blocks correctly. Using evolutionary game theory, we analyze how the participants' behaviour could potentially evolve with the reward mechanism. Also, penalties are found to play a central role in maintaining the integrity of blockchains.
AB - Blockchains have witnessed widespread adoption in the past decade in various fields. The growing demand makes their scalability and sustainability challenges more evident than ever. As a result, more and more blockchains have begun to adopt proof-of-stake (PoS) consensus protocols to address those challenges. One of the fundamental characteristics of any blockchain technology is its crypto-economics and incentives. Lately, each PoS blockchain has designed a unique reward mechanism, yet, many of them are prone to free-rider and nothing-at-stake problems. To better understand the ad-hoc design of reward mechanisms, in this paper, we develop a reward mechanism framework that could apply to many PoS blockchains. We formulate the block validation game wherein the rewards are distributed for validating the blocks correctly. Using evolutionary game theory, we analyze how the participants' behaviour could potentially evolve with the reward mechanism. Also, penalties are found to play a central role in maintaining the integrity of blockchains.
KW - BFT
KW - Evolutionary game theory
KW - PoS
KW - blockchain
KW - incentive mechanism
UR - http://www.scopus.com/inward/record.url?scp=85118936712&partnerID=8YFLogxK
U2 - 10.1109/BRAINS52497.2021.9569791
DO - 10.1109/BRAINS52497.2021.9569791
M3 - Conference contribution
AN - SCOPUS:85118936712
T3 - 2021 3rd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2021
SP - 217
EP - 224
BT - 2021 3rd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2021
Y2 - 27 September 2021 through 30 September 2021
ER -