Abstract
This paper presents a new secure and targeted mobile coupon delivery scheme based on blockchain. Our goal is to design a decentralized targeted mobile coupon delivery framework, which enables the secure delivery of targeted coupons to eligible mobile users whose behavioral profiles accurately satisfy the targeting profile defined by the vendor. It does not require trusted third-party meanwhile protects the mobile user and vendor’s information security, including user privacy, data integrity and rights protection. We adopt Policy-Data Contract Pair (PDCP) to control the transfer of information between users and vendors and use encryption algorithm to ensure the data security. Once transactions containing signatures are recorded in the blockchain after consensus, they become non-repudiation. Theoretical analysis and simulation experimental results demonstrate that our model has higher security and lower computation than JG’16 scheme.
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Partridge, K., Bo, B.: Activity-Based Advertising. Human-Computer Interaction Series, pp. 83–101. Springer, Heidelberg (2011). https://doi.org/10.1007/978-0-85729-352-7_4
Nath, S.: MAdScope: characterizing mobile in-app targeted ads. In: Proceedings of the International Conference on Mobile Systems, Applications, and Services, pp. 59–73 (2015)
Hua, J., Tang, A., Zhong, S.: Advertiser and publisher-centric privacy aware online behavioral advertising. In: Proceedings of the International Conference on Distributed Computing Systems, pp. 298–307 (2015)
Rane, S., Uzun, E.: A fuzzy commitment approach to privacy preserving behavioral targeting. In: Proceedings of the ACM MobiCom Workshop on Security and Privacy in Mobile Environments, pp. 31–35 (2014)
Partridge, K., Pathak, M.A., Uzun, E., et al.: PiCoDa: privacy-preserving smart coupon delivery architecture. In: Proceedings of Hot Topics in Privacy Enhancing Technologies, pp. 1–15 (2012)
Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system. Consulted (2008)
Dorri, A., Kanhere, S.S., Jurdak, R.: Towards an optimized blockchain for IoT. In: Proceedings of the ACM 2nd International Conference on Internet-of-Things Design and Implementation, pp. 173–178 (2017)
Abdullah, N., Hakansson, A., Moradian, E.: Blockchain based approach to enhance big data authentication in distributed environment. In: Proceedings of the International Conference on Ubiquitous and Future Networks, pp. 887–892 (2017)
Imbault, F., Swiatek, M., Beaufort, R.D., et al.: The green blockchain: managing decentralized energy production and consumption. In: Proceedings of the IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe, pp. 1–5 (2017)
Stanciu, A.: Blockchain based distributed control system for edge computing. In: Proceedings of the International Conference on Control Systems and Computer Science, pp. 667–671 (2017)
Yuan, Y., Wang, Y.F.: Blockchain: the state of the art and future trends. Acta Automatica Sinica 42(4), 481–494 (2016)
Jiang, J., Zheng, Y., Yuan, X., et al.: Towards secure and accurate targeted mobile coupon delivery. IEEE Access 99(4), 8116–8126 (2017)
Banerjee, S., Yancey, S.: Enhancing mobile coupon redemption in fast food campaigns. J. Res. Interact. Market. 2(4), 97–110 (2010)
Wray, J., Plante, D., Jalbert, T.: Mobile advertising engine for centralized mobile coupon delivery. Soc. Sci. Electron. Publ. 4(1), 75–85 (2011)
98 Personal Data Points That Facebook Uses to Target ADS to You. https://www.was-hingtonpost.com/news/theintersect/wp/2016/08/19/98-personal-data-points-that-facebook-uses-to-target-ads-to-you/. Accessed 1 Oct 2016
Acknowledgments
This work was partially supported by the National Natural Science Foundation of China (61472316, 61502380), the key Research and Development Program of Shaanxi Province (2017ZDXM-GY-011), the grant Basic Research Program of Shaanxi Province (2016ZDJC-05), and the Science and Technology Program of Shenzhen (JCYJ20170816100939373).
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Gu, Y., Gui, X., Xu, P., Gui, R., Zhao, Y., Liu, W. (2018). A Secure and Targeted Mobile Coupon Delivery Scheme Using Blockchain. In: Vaidya, J., Li, J. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2018. Lecture Notes in Computer Science(), vol 11337. Springer, Cham. https://doi.org/10.1007/978-3-030-05063-4_40
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DOI: https://doi.org/10.1007/978-3-030-05063-4_40
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