A verifiable and privacy-preserving cloud mining pool selection scheme in blockchain of things

【Author】 Zhang, Mingwu; Yang, Mingxuan; Shen, Gang; Xia, Zhe; Wang, Yuntao

【Source】INFORMATION SCIENCES

【影响因子】8.233

【Abstract】Blockchain of Things (BCoT), as a new paradigm that incorporates blockchain with the Internet of Things (IoT), can address the privacy and extensibility issues in IoT systems and effectively enhance the data management of IoT devices. Asmost of theIoT devices are resource-constrained in terms of computing power, storage capacity, and energy con-sumption. Meanwhile,the enormous computational consumption in the consensus process of the blockchain makes it difficult to integrate with IoT closely and exert the great poten-tial of BCoT. latterly, the "cloud mining" mechanism has been proposed to address these issues, however,some potential problems still exist, such as data privacy and dishonest cloud mining pools, etc. In this paper, we propose a verifiable and privacy-preserving cloud mining pool selection scheme in BCoT (namely, VPP-CMPS). To obtain a better solution for cloud mining pool selection, we implement an improved time-locked puzzles technique to identify dishonest mining pools and perform the authenticity for mining pool selection. Afterwards,we obtain the privacy protection of the data during the entire selection process by adopting additively homomorphic ElGamal cryptosystem. Meanwhile, considering the resource-constrained case in IoT devices, we use a semi-honest cloud server to cooperate in dealing with the selection procedure, thereby reducing the computational overhead of IoT devices. Experimental results indicate that our scheme is more efficient and provides less computational cost.(c) 2022 Published by Elsevier Inc. [Zhang, Mingwu; Yang, Mingxuan; Shen, Gang] Hubei Univ Technol, Sch Comp, Wuhan 430068, Peoples R China; [Zhang, Mingwu] Guilin Univ Elect Technol, Sch Comp Sci & Informat Secur, Guilin 541004, Peoples R China; [Xia, Zhe] Wuhan Univ Techonl, Sch Comp Sci & Engn, Wuhan 430070, Peoples R China; [Wang, Yuntao] Osaka Univ, Grad Sch Engn, Suita, Japan Hubei University of Technology; Guilin University of Electronic Technology; Wuhan University of Technology; Osaka University Shen, G (通讯作者)，Hubei Univ Technol, Sch Comp, Wuhan 430068, Peoples R China. mzhang@hbut.edu.cn; ymx@hbut.edu.cn; shengang@hbut.edu.cn; xiazhe@whut.edu.cn; wang@comm.eng.osaka-u.ac.jp National Natural Science Foundation of China [62072134, U2001205]; Key Research Development Program of Hubei Province [2021BEA163] National Natural Science Foundation of China(National Natural Science Foundation of China (NSFC)); Key Research Development Program of Hubei Province This work is in part supported by the National Natural Science Foundation of China under grants 62072134 and U2001205, and the Key Research Development Program of Hubei Province under Grant 2021BEA163. 46 0 0 0 0 ELSEVIER SCIENCE INC NEW YORK STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA 0020-0255 1872-6291 INFORM SCIENCES Inf. Sci. APR 2023 623 293 310 10.1016/j.ins.2022.11.169 http://dx.doi.org/10.1016/j.ins.2022.11.169 DEC 2022 18 Computer Science, Information Systems Science Citation Index Expanded (SCI-EXPANDED) Computer Science E0HK3 2023-05-06 WOS:000972446200001

【Keywords】Data aggregation; Privacy preservation; Cloud mining pool; Verifiable selection; Blockchain of things

【发表时间】2023 APR

【收录时间】2023-05-14

【文献类型】理论模型

【主题类别】

区块链技术-协同技术-物联网