Abstract
The previous schemes for rational delegation of computation resorting to game theory focus on what is the possible equilibrium results. However, they seem to ignore how to design an optimal incentive mechanism scientifically and effectively so that the final result meets designer’s expectations when a information structure is given. More importantly, there is an open question that whether the designed rational delegation of computation protocol is still secure in the UC framework. To address these challenges, in this paper, we first construct a reputation model leveraging Gompertz model to ensure that client can choose high-quality computing parties. Secondly, we design an optimal mechanism resorting to contract theory in the case of information asymmetry. Then we construct an ideal functionality for rational delegation of computation based on reputation and contract theory. In addition, we design a protocol for rational delegation of computation based on reputation and contract theory to securely realize the functionality. In the end, we prove that the proposed protocol is still secure in the UC framework.
Supported by the National Natural Science Foundation of China under Grant Nos. 61662009 and 61772008; Science and Technology Major Support Program of Guizhou Province under Grant No. 20183001; Ministry of Education-China Mobile Research Fund Project under Grant No. MCM20170401; Key Program of the National Natural Science Union Foundation of China under Grant No. U1836205; Science and Technology Program of Guizhou Province under Grant No. [2019]1098; Project of High-level Innovative Talents of Guizhou Province under Grant No. [2020]6008; Innovative talent team of Guizhou ordinary colleges and Universitie(Guizhou-Education-Talent-Team[2013]09).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Belenkiy, M., Chase, M., Erway, C.C., Jannotti, J., Küpçü, A., Lysyanskaya, A.: Incentivizing outsourced computation. In: Feigenbaum, J., Yang, Y.R. (eds.) NetEcon 2008, pp. 85–90. ACM, New York (2008). https://doi.org/10.1145/1403027.1403046
Bolton, P., Dewatripont, M.: Contract Theory. The MIT Press, Cambridge (2005)
Canetti, R.: Universally composable security: a new paradigm for cryptographic protocols. In: FOCS 2001, pp. 136–145. IEEE (2001). https://doi.org/10.1109/SFCS.2001.959888
Dong, C., Wang, Y., Aldweesh, A., McCorry, P., van Moorsel, A.: Betrayal, distrust, and rationality: smart counter-collusion contracts for verifiable cloud computing. In: Thuraisingham, B.M., Evans, D., Malkin, T., Xu, D. (eds.) CCS 2017, pp. 211–227. ACM, New York (2017). https://doi.org/10.1145/3133956.3134032
Huang, K.L., Kanhere, S.S., Hu, W.: On the need for a reputation system in mobile phone based sensing. Ad Hoc Netw. 12, 130–149 (2014)
Kang, J., Xiong, Z., Niyato, D., Xie, S., Zhang, J.: Incentive mechanism for reliable federated learning: a joint optimization approach to combining reputation and contract theory. IEEE Internet Things J. 6(6), 10700–10714 (2019)
Kang, J., Xiong, Z., Niyato, D., Ye, D., Kim, D.I., Zhao, J.: Toward secure blockchain-enabled internet of vehicles: optimizing consensus management using reputation and contract theory. IEEE Trans. Veh. Technol. 68(3), 2906–2920 (2019)
Kenney, J.F., Keeping, E.S.: Mathematics of statistics-part one (1954)
Küpçü, A.: Incentivized outsourced computation resistant to malicious contractors. IEEE Trans. Dependable Secur. Comput. 14(6), 633–649 (2017)
Ma, X., Ma, J., Hui, L., Qi, J., Sheng, G.: RTRC: a reputation-based incentive game model for trustworthy crowdsourcing service. Commun. China 13(12), 199–215 (2016)
Tian, Y., Guo, J., Wu, Y., Lin, H.: Towards attack and defense views of rational delegation of computation. IEEE Access 7, 44037–44049 (2019)
Zeng, M., Li, Y., Zhang, K., Waqas, M., Jin, D.: Incentive mechanism design for computation offloading in heterogeneous fog computing: a contract-based approach. In: ICC 2018, pp. 1–6. IEEE (2018). https://doi.org/10.1109/ICC.2018.8422684
Zhang, Y., van der Schaar, M.: Reputation-based incentive protocols in crowdsourcing applications. In: Greenberg, A.G., Sohraby, K. (eds.) INFOCOM 2012, pp. 2140–2148. IEEE (2012). https://doi.org/10.1109/INFCOM.2012.6195597
Zhou, Z., Liu, P., Feng, J., Zhang, Y., Mumtaz, S., Rodriguez, J.: Computation resource allocation and task assignment optimization in vehicular fog computing: a contract-matching approach. IEEE Trans. Veh. Technol. 68(4), 3113–3125 (2019)
Acknowledgments
We would like to thank the anonymous reviewers for their valuable comments and helpful suggestions.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jiang, X., Tian, Y. (2020). Rational Delegation of Computation Based on Reputation and Contract Theory in the UC Framework. In: Yu, S., Mueller, P., Qian, J. (eds) Security and Privacy in Digital Economy. SPDE 2020. Communications in Computer and Information Science, vol 1268. Springer, Singapore. https://doi.org/10.1007/978-981-15-9129-7_23
Download citation
DOI: https://doi.org/10.1007/978-981-15-9129-7_23
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-9128-0
Online ISBN: 978-981-15-9129-7
eBook Packages: Computer ScienceComputer Science (R0)