Blockchain-Based Service Recommendation Supporting Data Sharing (original) (raw)

Abstract

With the rapid development of cloud computing, massive web services have appeared quickly with a heavy burden for user to choose services that they preferred. To cope with the stress, many recommendation algorithms have been proposed. Nonetheless, the recommendation effects were not ideal due to the insufficient data in a cloud platform. For this situation, it is necessary for cloud platforms to cooperate with each other to share data. However, the cloud platforms generally do not intend share the data because of the uses’ privacy. Meanwhile, the traditional recommendation exist a series of challenges such as security and privacy, data tampering and so on. In order to address the above problems, we propose a blockchain-based service recommendation scheme (BPDS–SR) which can achieve a higher accuracy and lower cost with more profits.

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References

  1. Rong, H., Huo, S., Hu, C., Mo, J.: User similarity-based collaborative filtering recommendation algorithm. J. Commun. 35(2), 16–24 (2014)
    Google Scholar
  2. Chung, K.-Y., Lee, D., Kim, K.J.: Categorization for grouping associative items using data mining in item-based collaborative filtering. Multimedia Tool Appl. 71(2), 889–904 (2011). https://doi.org/10.1007/s11042-011-0885-z
    Article Google Scholar
  3. Jiang, C., Duan, R., Jain, H., Liu, S., Liang, K.: Hybrid collaborative filtering for high-involvement products: A solution to opinion sparsity and dynamics. Decis. Support Syst. 79, 195–208 (2015)
    Article Google Scholar
  4. Yan, B., Yu, J., Yang, M., Jiang, H., Wan, Z., Ni, L.: A novel distributed social internet of things service recommendation scheme based on LSH forest. Pers. Ubiquit. Comput , 1–14 (2019). https://doi.org/10.1007/s00779-019-01283-4
  5. Frey, R., Vuckovac, D., Ilic, A. : A secure shopping experience based on blockchain and beacon technology. In: Proceedings of the 22nd American Conference Information System, pp. 1–5 (2016)
    Google Scholar
  6. Frey, R., Vuckovac, D., Ilic, A.: A secure shopping experience based on blockchain and beacon technology. In: Poster Proceedings of the 10th ACM Conference Recommender System (2016)
    Google Scholar
  7. Yu, J., Liu, S., Wang, S., Xiao, Y., Yan, B.: LH-ABSC: a lightweight hybrid attribute-based signcryption scheme for cloud-fog assisted IoT. IEEE Internet Things J. (2020). https://doi.org/10.1109/JIOT.2020.2992288
  8. Liu, S., Yu, J., Xiao, Y., Wan, Z., Wang, S., Yan, B.: BC-SABE: blockchain-aided searchable attribute-based encryption for cloud-IoT. IEEE Internet Things J. (2020). https://doi.org/10.1109/JIOT.2020.2993231
  9. Wang, Y., Yu, J., Yan, B., Wang, G., Shan, Z.: BSV-PAGS: Blockchain-based special vehicles priority access guarantee scheme. Comput. Commun. (2020). https://doi.org/10.1016/j.comcom.2020.07.012
  10. Zheng, X., Cai, Z.: Privacy-preserved data sharing towards multiple parties in industrial IoTs. IEEE J. Sel. Areas Commun. 38(5), 968–979 (2020)
    Article Google Scholar
  11. Zhu, S., Cai, Z., Hu, H., Li, S., Li, W.: zkCrowd: a hybrid blockchain-based crowdsourcing platform. IEEE Trans. Ind. Inf. 16(6), 4196–4205 (2019)
    Article Google Scholar
  12. Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system (2008). https://bitcoin.org/bitcoin.pdf
  13. Yan, C., Cui, X., Qi, L., Xu, X., Zhang, X.: Privacy-aware data publishing and integration for collaborative service recommendation. IEEE Access 6, 43021–43028 (2018)
    Article Google Scholar
  14. Zhu, J., He, P., Zheng, Z., Lyu, M.R.: A Privacy-preserving QoS prediction framework for web service recommendation. In: Proceeding of the 2015 IEEE International Conference on Web Services, pp. 241–248. IEEE (2015). https://doi.org/10.1109/ICWS.2015.41

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Acknowledgment

This work was supported in part by National Key R&D Program of China under Grant 2019YFB2102600, the National Natural Science Foundation of China (NSFC) under Grants 61832012, 61672321 and 61771289 and the Key Research and Development Program of Shandong Province under Grant 2019JZZY020124.

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Authors and Affiliations

  1. Qufu Normal University, Qufu, 273165, Shandong, People’s Republic of China
    Biwei Yan, Qiang Guo & Suhui Liu
  2. School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, Shandong, People’s Republic of China
    Jiguo Yu, Yue Wang & Baobao Chai
  3. Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, 250014, Shandong, People’s Republic of China
    Jiguo Yu
  4. Shandong Key Laboratory of Computer Networks, Jinan, 250014, China
    Jiguo Yu

Authors

  1. Biwei Yan
  2. Jiguo Yu
  3. Yue Wang
  4. Qiang Guo
  5. Baobao Chai
  6. Suhui Liu

Corresponding author

Correspondence toJiguo Yu .

Editor information

Editors and Affiliations

  1. Shandong University, Qingdao, China
    Dongxiao Yu
  2. TU Berlin, Berlin, Germany
    Falko Dressler
  3. Qilu University of Technology, Jinan, China
    Jiguo Yu

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Yan, B., Yu, J., Wang, Y., Guo, Q., Chai, B., Liu, S. (2020). Blockchain-Based Service Recommendation Supporting Data Sharing. In: Yu, D., Dressler, F., Yu, J. (eds) Wireless Algorithms, Systems, and Applications. WASA 2020. Lecture Notes in Computer Science(), vol 12384. Springer, Cham. https://doi.org/10.1007/978-3-030-59016-1\_48

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