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Threshold signature scheme suitable for blockchain electronic voting scenes
CHENG Yage, JIA Zhijuan, HU Mingsheng, GONG Bei, WANG Lipeng
Journal of Computer Applications    2019, 39 (9): 2629-2635.   DOI: 10.11772/j.issn.1001-9081.2019030513
Abstract514)      PDF (1051KB)(460)       Save

When traditional signature algorithms such as blind signature and group signature applied to heterogeneous networks of blockchain, they might have problems like relying on trusted centers or low efficiency. Aiming at the problems, a threshold signature scheme suitable for blockchain electronic voting scenes was proposed. The proposed scheme was based on the Asmuth-Bloom secret sharing scheme and did not need a trusted center. Firstly, the signature was generated by the collaboration of blockchain nodes, implementing mutual verification between nodes and improving the node credibility. Secondly, a mechanism of nodes joining and exiting was established to adapt to the high mobility of the blockchain nodes. Finally, the node private keys were updated regularly to resist mobile attacks and make them forward-secure. Security analysis shows that the security of the scheme is based on the discrete logarithm problem, so that the scheme can effectively resist mobile attacks and is forward-secure. The performance analysis shows that compared with other schemes, this scheme has lower computational complexity in the signature generation and verification phases. The results show that the proposed scheme can be well applied to blockchain electronic voting scenes.

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Spectrum difference allocation of cognitive radio network based on chaotic artificial physics optimization
JIA Suimin, WEI Meng, HU Mingsheng
Journal of Computer Applications    2015, 35 (4): 1067-1070.   DOI: 10.11772/j.issn.1001-9081.2015.04.1067
Abstract452)      PDF (549KB)(484)       Save

Focusing on the spectrum allocation problem in cognitive radio network, an allocation model considering spectrum availability was proposed. When handling the constraint, the higher availability spectrum was assigned to the cognitive users. A chaotic artificial physics optimization was proposed based on NP (Non-deterministic Polynomial) feature of spectrum allocation problem. The ergodicity of chaos was used to initiate population and the force equation between particles was improved to avoid the algorithm falling into local optimum. The simulation results show that the proposed algorithm can get better network revenue and improve the spectrum usage.

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