Abstract
Blockchain technology is a decentralized network structure based on the p2p network and cryptography technology as the core. It establishes trust relationships on the network with pure mathematical methods, without relying on intermediate platforms to establish trust relationships. In order to better protect the subjective rights and interests of digital copyright and reduce the occurrence of various infringement incidents, a digital copyright consensus algorithm based on blockchain technology is proposed. With the help of Map function conditions, the internal data transmission rate of the multi-channel model is improved, so as to obtain accurate time complexity values, and complete the design of the digital copyright blockchain consensus algorithm. Experimental results show that, compared with the APBFT algorithm, the maximum value of the DPA permission resistance index in this paper is increased to 83%, while the directional transmission time of data information is shortened to 0.08 s, which greatly reduces the probability of various digital copyright infringement incidents.
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Cheng, M., Liu, J., Xu, J.: Diverse search empire competition algorithm for solving traveling salesman problem. Comput. Appl. 39(10), 2992–2996 (2019)
Liang, W., Lei, X., Li, K.-C., Fan, Y., Cai, J.: A dual-chain digital copyright registration and transaction system based on blockchain technology. In: Zheng, Z., Dai, H.-N., Tang, M., Chen, X. (eds.) BlockSys 2019. CCIS, vol. 1156, pp. 702–714. Springer, Singapore (2020). https://doi.org/10.1007/978-981-15-2777-7_57
Fang, Y., Deng, J., Cong, L.: Improved PBFT blockchain consensus algorithm based on ring signature. Comput. Eng. 45(11), 32–36 (2019)
Xu, J., Meng, X., Liang, W., Peng, L., Xu, Z., Li, K.-C.: A hybrid mutual authentication scheme based on blockchain technology for WBANs. In: Zheng, Z., Dai, H.-N., Tang, M., Chen, X. (eds.) BlockSys 2019. CCIS, vol. 1156, pp. 350–362. Springer, Singapore (2020). https://doi.org/10.1007/978-981-15-2777-7_28
Ning, Z., Li, L., Liang, W., Zhao, Y., Fu, Q., Chen, H.: A novel exploration for blockchain in distributed file storage. In: Zheng, Z., Dai, H.-N., Tang, M., Chen, X. (eds.) BlockSys 2019. CCIS, vol. 1156, pp. 740–746. Springer, Singapore (2020). https://doi.org/10.1007/978-981-15-2777-7_60
Hao, X., Hanyu, D., Cheng, Q.: Recognition of FM fuze rough surface target and interference signal. J. Beijing Univ. Aeronaut. Astronaut. 45(10), 1946–1955 (2019)
Liang, W., Long, W.H.J., Li, K.-C., Zhang, D.: Deep Reinforcement learning for resource protection and real-time detection in IOT environment. IEEE Internet Things J. 1–9 (2020)
Liu, G., Li, Q.: Blockchain data privacy protection mechanism based on searchable encryption. Comput. Appl. 39(S2), 140–146 (2019)
Pan, X., Pan, X., Song, M., Ai, B., Ming, Y.: Blockchain technology and enterprise operational capabilities: an empirical test. Int. J. Inf. Manag. 52, 101946 (2020)
Behnke, K., Janssen, M.: Boundary conditions for traceability in food supply chains using blockchain technology. Int. J. Inf. Manag. 52, 101969 (2020)
Choi, T.-M., Feng, L., Li, R.: Information disclosure structure in supply chains with rental service platforms in the blockchain technology era. Int. J. Prod. Econ. 221 (2020)
Hawlitschek, F., Notheisen, B., Teubner, T.: A 2020 perspective on “the limits of trust-free systems: a literature review on blockchain technology and trust in the sharing economy”. Electron. Commer. Res. Appl. 40 (2020)
Zhao, G., Di, B., He, H., Zhu, W.: Digital education transaction object authentication service based on blockchain technology. Internet Technol. Lett. 3(2) (2020)
Information technology - data sharing; researchers from southwest jiaotong university describe research in data sharing (coordination of supply chain under blockchain system-based product lifecycle information sharing effort). Inf. Technol. Newsweekly (2020)
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Jun, G., Lan, Y., HongBo, Z., Yang, G. (2020). Research on a Blockchain Consensus Algorithm Based on Digital Copyright. In: Zheng, Z., Dai, HN., Fu, X., Chen, B. (eds) Blockchain and Trustworthy Systems. BlockSys 2020. Communications in Computer and Information Science, vol 1267. Springer, Singapore. https://doi.org/10.1007/978-981-15-9213-3_43
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DOI: https://doi.org/10.1007/978-981-15-9213-3_43
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