Abstract
In recent years, online auction system obtains the widespread application with the vigorous development of e-commerce. During the process of an auction, numbers of qualified suppliers propose their own bidding according to procurements demands. Then the winner is generated by comparing and sorting all of degree-matching between procurers ideal solution and suppliers’ bidding, we remind it as Ideal Degree-Matching Determined Solution (IDDS). IDDS requires suppliers to provide their private information to the auction servers. However, suppliers usually do not expect the real information of the bid leaked out, especially known by other competitors. In this paper we propose a Privacy-Preserving Online Reverse Multi-Attributes Auction Scheme based on Degree-Matching (PRMA). IDDS is used as the basis of determining the auction winner. Impressively based on the difficulty of integer factorization assumption, our scheme ensures data security of all suppliers. Compared with previous work, our scheme also gains higher security performance by eliminating the participation of third party.
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References
Carbonneau, R., Vahidov, R.: A Multi-attribute bidding strategy for a single-attribute auction marketplace. Expert Syst. Appl. 43, 42–50 (2016)
Wu, T.C., Lin, T.Y., Wu, T.S., et al.: Efficient english auction scheme without a secure channel. Int. Arab J. Inf. Technol. 12(3), 246–252 (2015)
Rossignoli, C., Ricciardi, F.: Electronic marketplaces. In: Rossignoli, C., Ricciardi, F. (eds.) Inter-Organizational Relationships. Contributions to Management Science, pp. 97–115. Springer International Publishing, Heidelberg (2015)
El Kholy, W., Bentahar, J., El Menshawy, M., et al.: Modeling and verifying choreographed multi-agent-based web service compositions regulated by commitment protocols. Expert Syst. Appl. 41(16), 7478–7494 (2014)
Özer, A.H., Özturan, C.: Multi-unit differential auction-barter model for electronic marketplaces. Electron. Commer. Res. Appl. 10(2), 132–143 (2011)
Lin, C.C., Chen, S.C., Chu, Y.M.: Automatic price negotiation on the web: an agent-based web application using fuzzy expert system. Expert Syst. Appl. 38(5), 5090–5100 (2011)
Chow, Y.L., Ooi, J.T.L.: First-price sealed-bid tender versus English open auction: evidence from land auctions. Real Estate Econ. 42(42), 253–278 (2014)
Varian, H.R., Harris, C.: VCG auction in theory, practice. Am. Econ. Rev. 104(5), 442–445 (2014)
Ding, L.L., Kang, W.L., Liu, X.M.: Model and bidding strategies of multi-attribute auction based on buyer’s preferences revealed. Syst. Eng. 2, 013 (2015)
Gothelf, N., De, Y., Havelange, G., et al.: About the choice between a reversed multi-attribute auction and a reversed auction with a quality threshold. In: Proceedings of MCDA (2015)
He, D., Kumar, N., Shen, H., Lee, J.-H.: One-to-many authentication for access control in mobile pay-TV systems. Sci. China Inf. Sci. 59, 052108 (2015). doi:10.1007/s11432-015-5469-5
Xia, Z., Wang, X., Sun, X., Wang, Q.: A secure and dynamic multi-keyword ranked search scheme over encrypted cloud data. IEEE Trans. Parallel Distrib. Syst. 27(2), 340–352 (2015)
Shen, J., Moh, S., Chung, I.: Enhanced secure sensor association and key management in wireless body area networks. J. Commun. Netw. 17(5), 453–462 (2015)
Ma, T., Zhou, J., Tang, M., Tian, Y., Al-Dhelaan, A., Al-Rodhaan, M., Lee, S.: Social network and tag sources based augmenting collaborative recommender system. IEICE Trans. Inf. Syst. E98–D(4), 902–910 (2015)
Fu, Z., Sun, X., Liu, Q., Zhou, L., Shu, J.: Achieving efficient cloud search services: multi-keyword ranked search over encrypted cloud data supporting parallel computing. IEICE Trans. Commun. E98–B(1), 190–200 (2015)
Srinath, T.R., Singh, M.P., Pais, A.R.: Anonymity and verifiability in multi-attribute reverse auction. arXiv preprint arXiv:1109.0359 (2011)
Schartner, P., Schaffer, M.: Unique user-generated digital pseudonyms. In: Gorodetsky, V., Kotenko, I., Skormin, V.A. (eds.) MMM-ACNS 2005. LNCS, vol. 3685, pp. 194–205. Springer, Heidelberg (2005)
Srinath, T.R., Kella, S., Jenamani, M.: A new secure protocol for multi-attribute multi-round e-reverse auction using online trusted third party. In: 2011 Second International Conference on Emerging Applications of Information Technology (EAIT), pp. 149–152. IEEE (2011)
Parkes, D.C., Rabin, M.O., Shieber, S.M., et al.: Practical secrecy-preserving, verifiably correct, trustworthy auctions. Electron. Commer. Res. Appl. 7(3), 294–312 (2008)
Zhu, X., Liu, J., Jiang, S., et al.: Efficient weight-based private matching for proximity-based mobile social networks. In: 2014 IEEE International Conference on Communications (ICC), pp. 4114–4119. IEEE (2014)
Goldreich, O.: Foundations of Cryptography: Volume II (Basic Applications). Cambridge University Press (2004)
Cramer, R., Shoup, V.: Signature schemes based on the strong RSA assumption. ACM Trans. Inf. Syst. Secur. (TISSEC) 3(3), 161–185 (2000)
Acknowledgement
The authors thank the editors and the anonymous reviewers for their valuable comments. This research was supported by National Natural Science Foundation of China (Nos. 61472074, 61401083), the Doctoral Fund of Northeastern University of Qinhuangdao (Grant No. XNB201410); the Fundamental Research Funds for the Central Universities (Grant No. N130323005, L1523009); the Natural Science Foundation of Hebei Province of China (Grant No. F2014501139, F2015501122); the Doctoral Scientific Research Foundation of Liaoning Province (Grant No. F201501143).
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Ma, M., Gao, J., Lu, N., Shi, W. (2016). A Privacy-Preserving Online Reverse Multi-attributes Auction Scheme Based on Degree-Matching. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10039. Springer, Cham. https://doi.org/10.1007/978-3-319-48671-0_38
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DOI: https://doi.org/10.1007/978-3-319-48671-0_38
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