Cryptocurrency and blockchain privacy

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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
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
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
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.
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
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
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
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.
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
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.