Cryptocurrency and blockchain privacy

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Lu, Z., Wang, Q., Qu, G., Zhang, H., & Liu, Z. (2019). A Blockchain-Based Privacy-Preserving Authentication Scheme for VANETs. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 1–10. https://doi.org/10/gf78js
Liang, X., Du, Y., Wang, X., & Zeng, Y. (2019). Design of A Double-blockchain Structured Carbon Emission Trading Scheme with Reputation. In 2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC) (pp. 464–467). https://doi.org/10/gf78pq
Luo, Y., Wang, Z., Fan, J., Li, Y., & Bai, J. (2019). A New One-time Address Scheme for Blockchain. In 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC) (pp. 1–5). https://doi.org/10/gf78px
Saldamli, G., Mehta, S. S., Raje, P. S., Kumar, M. S., & Deshpande, S. S. (2019). Identity Management via Blockchain. In Proceedings of the International Conference on Security and Management (SAM); Athens (pp. 63–68). Athens, United States, Athens: The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp). Retrieved from https://search.proquest.com/docview/2278745845/abstract/34645F7E60634E1APQ/1
Hackius, N., Reimers, S., & Kersten, W. (2019). The Privacy Barrier for Blockchain in Logistics: First Lessons from the Port of Hamburg. In C. Bierwirth, T. Kirschstein, & D. Sackmann (Eds.), Logistics Management (pp. 45–61). Springer International Publishing.
Qin, K., Hadass, H., Gervais, A., & Reardon, J. (2019). Applying Private Information Retrieval to Lightweight Bitcoin Clients. In 2019 Crypto Valley Conference on Blockchain Technology (CVCBT) (pp. 60–72). https://doi.org/10/gf78kb
Zhong, P., Zhong, Q., Mi, H., Zhang, S., & Xiang, Y. (2019). Privacy-Protected Blockchain System. In 2019 20th IEEE International Conference on Mobile Data Management (MDM) (pp. 457–461). https://doi.org/10.1109/MDM.2019.000-2
Lu, Y. (2019). The blockchain: State-of-the-art and research challenges. Journal of Industrial Information Integration. https://doi.org/10.1016/j.jii.2019.04.002
Bhaskaran, K., Ilfrich, P., Liffman, D., Vecchiola, C., Jayachandran, P., Kumar, A., … Suen, C. H. (2018). Double-Blind Consent-Driven Data Sharing on Blockchain. In 2018 IEEE International Conference on Cloud Engineering (IC2E) (pp. 385–391). https://doi.org/10/gfwwpg
Axon, L., Goldsmith, M., & Creese, S. (2018). Chapter Eight - Privacy Requirements in Cybersecurity Applications of Blockchain. In P. Raj & G. C. Deka (Eds.), Advances in Computers (Vol. 111, pp. 229–278). Elsevier. https://doi.org/10.1016/bs.adcom.2018.03.004
Liu, Y., Liu, X., Tang, C., Wang, J., & Zhang, L. (2018). Unlinkable Coin Mixing Scheme for Transaction Privacy Enhancement of Bitcoin. IEEE Access, 6, 23261–23270. https://doi.org/10.1109/ACCESS.2018.2827163
Gao, F., Zhu, L., Shen, M., Sharif, K., Wan, Z., & Ren, K. (2018). A Blockchain-Based Privacy-Preserving Payment Mechanism for Vehicle-to-Grid Networks. IEEE Network, 32(6), 184–192. https://doi.org/10/ggc2bc
Zhang, S., Pu, M., Wang, B., & Dong, B. (2019). A Privacy Protection Scheme of Microgrid Direct Electricity Transaction Based on Consortium Blockchain and Continuous Double Auction. IEEE Access, 7, 151746–151753. https://doi.org/10/ggcz9t
Feng, Q., He, D., Zeadally, S., & Liang, K. (2019). BPAS: Blockchain-Assisted Privacy-Preserving Authentication System for Vehicular Ad-Hoc Networks. IEEE Transactions on Industrial Informatics, 1–1. https://doi.org/10.1109/TII.2019.2948053
Gai, K., Wu, Y., Zhu, L., Zhang, Z., & Qiu, M. (2019). Differential Privacy-based Blockchain for Industrial Internet of Things. IEEE Transactions on Industrial Informatics, 1–1. https://doi.org/10/ggcz86
Casino, F., & Patsakis, C. (2019). An Efficient Blockchain-Based Privacy-Preserving Collaborative Filtering Architecture. IEEE Transactions on Engineering Management, 1–13. https://doi.org/10/ggcz8q
Bernabe, J. B., Canovas, J. L., Hernandez-Ramos, J. L., Moreno, R. T., & Skarmeta, A. (2019). Privacy-preserving solutions for Blockchain: review and challenges. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2019.2950872
Karampinakis, E., Pachilakis, M., Papadopoulos, P., Krithinakis, A., & Markatos, E. P. (2019). The coin that never sleeps. The privacy preserving usage of Bitcoin in a longitudinal analysis as a speculative asset. Retrieved from http://arxiv.org/abs/1911.03226
Kim, S.-K. (Steve). (2019). A Study on the Effect of Blockchain on Personal Information Protection. Journal of Multimedia Information System, 6(3), 125–130. https://doi.org/10/gf9td7
Lu, Y., Huang, X., Dai, Y., Maharjan, S., & Zhang, Y. (2019). Blockchain and Federated Learning for Privacy-preserved Data Sharing in Industrial IoT. IEEE Transactions on Industrial Informatics, 1–1. https://doi.org/10/gf9td3
Bertino, E., Kundu, A., & Sura, Z. (2019). Data Transparency with Blockchain and AI Ethics. J. Data and Information Quality, 11(4), 16:1–16:8. https://doi.org/10/gf78mk
Ikeda, K. (2018). Chapter Seven - Security and Privacy of Blockchain and Quantum Computation. In P. Raj & G. C. Deka (Eds.), Advances in Computers (Vol. 111, pp. 199–228). Elsevier. https://doi.org/10.1016/bs.adcom.2018.03.003
Cui, Y., Pan, B., & Sun, Y. (2019). A Survey of Privacy-Preserving Techniques for Blockchain. In X. Sun, Z. Pan, & E. Bertino (Eds.), Artificial Intelligence and Security (pp. 225–234). Springer International Publishing.
Ma, M., Shi, G., & Li, F. (2019). Privacy-Oriented Blockchain-based Distributed Key Management Architecture for Hierarchical Access Control in the IoT Scenario. IEEE Access, 1–1. https://doi.org/10/gfxvxv
Gai, K., Wu, Y., Zhu, L., Xu, L., & Zhang, Y. (2019). Permissioned Blockchain and Edge Computing Empowered Privacy-preserving Smart Grid Networks. IEEE Internet of Things Journal, 1–1. https://doi.org/10.1109/JIOT.2019.2904303
Zhang, A., & Lin, X. (2018). Towards Secure and Privacy-Preserving Data Sharing in e-Health Systems via Consortium Blockchain. Journal of Medical Systems, 42(8), 140. https://doi.org/10/gdt45g
Elisa, N., Yang, L., Chao, F., & Cao, Y. (2018). A Framework of Blockchain-Based Secure and Privacy-Preserving E-Government System. Wireless Networks. https://doi.org/10/gfwh5x
Guan, Z., Si, G., Zhang, X., Wu, L., Guizani, N., Du, X., & Ma, Y. (2018). Privacy-preserving and efficient aggregation based on blockchain for power grid communications in smart communities. IEEE Communications Magazine, 56(7), 82–88. https://doi.org/10/gfv9wb
Wirth, C., & Kolain, M. (2018). Privacy by blockchain design: a blockchain-enabled GDPR-compliant approach for handling personal data. In Proceedings of 1st ERCIM Blockchain Workshop 2018. European Society for Socially Embedded Technologies (EUSSET).
Finck, M. (2017). Blockchains and Data Protection in the European Union (Max Planck Institute for Innovation & Competition Research Paper No. 18–01). Institute for Innovation and Competition. Retrieved from https://papers.ssrn.com/abstract=3080322
Feng, X., Ma, J., Feng, T., Miao, Y., & Liu, X. (2018). Consortium Blockchain-based SIFT: Outsourcing Encrypted Feature Extraction in the D2D Network. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2018.2869856
Yang, M., Zhu, T., Liang, K., Zhou, W., & Deng, R. H. (2018). A blockchain-based location privacy-preserving crowdsensing system. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2018.11.046
Wang, W. (2018). A Vision for Trust, Security and Privacy of Blockchain. In M. Qiu (Ed.), Smart Blockchain (pp. 93–98). Springer International Publishing.