TY - GEN
T1 - Bridging Economic Model and Blockchain
T2 - 20th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2024
AU - Xu, Xijian
AU - Wu, Jun
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In blockchain based decentralized finance, cross-chain payment channel is a crucial component for achieving the interoperability among different software-defined blockchain systems. However, there are still some challenges in existing payment channels scenarios. First, payment channels need to be established through intermediaries with service fees, but no one has developed a suitable strategy for pricing the service fees currently. Second, these scenarios disclose sensitive information when intermediaries are engaged with cross-chain requests. Last but not least, the payment channel established currently tend to lack robust mechanisms for protecting the details of transactions during trading phase. To address the above challenges, this paper proposes a zero knowledge empowered payment channel to enhance privacy and transaction details protection with intermediary pricing strategy. Specifically, we develop the pricing strategy based on GARCH model with market dynamics. Moreover, we design a mechanism based on Pedersen commitments for verifiable proofs to preserve privacy in cross-chain requests. Finally, we construct the payment channel with zk-SNARKs to guard transaction details during trading phase. The experiment demonstrates our approach develops optimal pricing strategy and offer enhanced privacy and anonymity assurances.
AB - In blockchain based decentralized finance, cross-chain payment channel is a crucial component for achieving the interoperability among different software-defined blockchain systems. However, there are still some challenges in existing payment channels scenarios. First, payment channels need to be established through intermediaries with service fees, but no one has developed a suitable strategy for pricing the service fees currently. Second, these scenarios disclose sensitive information when intermediaries are engaged with cross-chain requests. Last but not least, the payment channel established currently tend to lack robust mechanisms for protecting the details of transactions during trading phase. To address the above challenges, this paper proposes a zero knowledge empowered payment channel to enhance privacy and transaction details protection with intermediary pricing strategy. Specifically, we develop the pricing strategy based on GARCH model with market dynamics. Moreover, we design a mechanism based on Pedersen commitments for verifiable proofs to preserve privacy in cross-chain requests. Finally, we construct the payment channel with zk-SNARKs to guard transaction details during trading phase. The experiment demonstrates our approach develops optimal pricing strategy and offer enhanced privacy and anonymity assurances.
KW - Blockchain
KW - cross-chain
KW - privacy protection
KW - service fee pricing
KW - virtual payment channel
UR - http://www.scopus.com/inward/record.url?scp=85199985790&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85199985790&partnerID=8YFLogxK
U2 - 10.1109/IWCMC61514.2024.10592598
DO - 10.1109/IWCMC61514.2024.10592598
M3 - Conference contribution
AN - SCOPUS:85199985790
T3 - 20th International Wireless Communications and Mobile Computing Conference, IWCMC 2024
SP - 333
EP - 338
BT - 20th International Wireless Communications and Mobile Computing Conference, IWCMC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 May 2024 through 31 May 2024
ER -