Abstract
With the rapid development of cryptocurrency, such as the Bitcoin, block chain technology, as the bottom technology of Bitcoin, has been widely concerned by researchers. Block chain has the characteristics of decentralization, anonymity and non-tampering, which realizes the transformation from social trust to machine trust. As an important part of block chain system, digital signature is relatively inefficient. For this reason, this paper proposes an aggregation signature scheme based on FPGA, which combines the aggregation signature technology with the reconfiguration of FPGA, realizes the aggregation of multiple user signatures into one signature, and has multiple ECC acceleration modules in FPGA. The efficiency of digital signature calculation is improved. Through experimental analysis and comparison, the scheme uses FPGA reconstruction and aggregate signature technology, which not only improves the computational efficiency of ECC, but also improves the efficiency of signature verification and improves the performance of block chain system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Yuan, Y., Wang, F.: The status quo and prospect of blockchain technology development. J. Autom. 42(04), 481–494 (2016)
Lewenberg, Y., Sompolinsky, Y., Zohar, A.: Inclusive block chain protocols. In: Böhme, R., Okamoto, T. (eds.) FC 2015. LNCS, vol. 8975, pp. 528–547. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-47854-7_33
Cai, W., Yu, L., Wang, R., Liu, N., Deng, E.: Research on application system development method based on blockchain. J. Softw. 28(06), 1474–1487 (2017)
Yuan, C., Xu, M., Si, X.: Consensus algorithm optimization scheme based on aggregate signature. Comput. Sci. 45(02), 53–56+83 (2018)
Lu, Y.: Research on Reconfigurable Signal Preprocessing Technology. Zhejiang University (2018)
Tian, D., Peng, Y.: Digital signature technology based on hybrid algorithm in blockchain. Electron Technol. 31(07), 19–23 (2018)
Che, W., Dong, X.: Implementation and optimization of montgomery modular multiplier. Comput. Appl. Softw. 34(03), 312–315+333 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Fu, J., Liu, J., Huang, Y., Si, X., Wang, Y., Li, B. (2020). Aggregate Signature Consensus Scheme Based on FPGA. In: Zheng, Z., Dai, HN., Tang, M., Chen, X. (eds) Blockchain and Trustworthy Systems. BlockSys 2019. Communications in Computer and Information Science, vol 1156. Springer, Singapore. https://doi.org/10.1007/978-981-15-2777-7_8
Download citation
DOI: https://doi.org/10.1007/978-981-15-2777-7_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-2776-0
Online ISBN: 978-981-15-2777-7
eBook Packages: Computer ScienceComputer Science (R0)