TY - GEN
T1 - LBFP
T2 - 8th IEEE International Conference on Computer and Communications, ICCC 2022
AU - Cheng, Huajie
AU - Zeng, Peng
AU - Li, Chengju
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The widespread application of outsourced computation meets the growing computing demands. However, due to the payment issues and data security, achieving fair interaction between clients and workers in a zero-trust environment has become a bottleneck of restricting the development of outsourced computation. Most existing solutions, including blockchain-based and traditional e-cash system, may compromise the client's or the worker's fairness. To deal with this issue, several fair payment schemes based on trusted third parties (TTP) have been proposed in the literature. However, the involvement of TTP reduced the feasibility of these schemes. In order to remove the aforementioned limitations, we propose a lightweight bitcoin-based fair payment (LBFP) scheme for outsourced computation environment. LBFP is able to achieve the robust fairness and compatibility by integrating cryptographic components (including one-way accumulator, bitcoin-based timed commitment, and symmetric encryption). In addition, we give the security analysis of LBFP and make a comparison with the related schemes which show that LBFP has a better application prospect.
AB - The widespread application of outsourced computation meets the growing computing demands. However, due to the payment issues and data security, achieving fair interaction between clients and workers in a zero-trust environment has become a bottleneck of restricting the development of outsourced computation. Most existing solutions, including blockchain-based and traditional e-cash system, may compromise the client's or the worker's fairness. To deal with this issue, several fair payment schemes based on trusted third parties (TTP) have been proposed in the literature. However, the involvement of TTP reduced the feasibility of these schemes. In order to remove the aforementioned limitations, we propose a lightweight bitcoin-based fair payment (LBFP) scheme for outsourced computation environment. LBFP is able to achieve the robust fairness and compatibility by integrating cryptographic components (including one-way accumulator, bitcoin-based timed commitment, and symmetric encryption). In addition, we give the security analysis of LBFP and make a comparison with the related schemes which show that LBFP has a better application prospect.
KW - Bitcoin
KW - Compatibility
KW - Fair payment
KW - Outsourced computation
KW - Robust fairness
UR - https://www.scopus.com/pages/publications/85151638209
U2 - 10.1109/ICCC56324.2022.10065644
DO - 10.1109/ICCC56324.2022.10065644
M3 - 会议稿件
AN - SCOPUS:85151638209
T3 - 2022 IEEE 8th International Conference on Computer and Communications, ICCC 2022
SP - 1344
EP - 1349
BT - 2022 IEEE 8th International Conference on Computer and Communications, ICCC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 December 2022 through 12 December 2022
ER -