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BSM-Ether: Bribery Selfish Mining in Blockchain-based Healthcare Systems

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journal contribution
posted on 2022-04-27, 14:50 authored by Y Wang, Z Wang, M Zhao, X Han, Huiyu Zhou, X Wang, A Koe

Blockchain-enabled distributed networks present a new infrastructure for building reliable and privacy-preserving healthcare utilities. Among them, Ethereum networks have gained specialized attention for their high usability and security. In this paper, we raise the awareness of Ethereum’s vulnerability due to selfish mining, in which ill-disposed miners are feasible to receive more rewards than honest ones. To demonstrate this, we compose a new bribery selfish mining scheme, the BSM-Ether, targeted to Ethereum. The BSM-Ether attack can be easily conducted and has higher rewards than other existing malicious attacks. Besides, we present a formal and rigorous analysis of multiple kinds of rewards from the BSM-Ether attack. Simulation experiments show the high effectiveness of BSM-Ether – the attacker can get a higher revenue with few efforts. To tackle this variability, we present some implementation level proposals and suggestions for building healthcare systems on top of Ethereum to minimize the negative effect of the security deficiency of underlying systems.

Funding

Foundation of National Natural Science Foundation of China (Grant No.: 62072273, 72111530206, 61962009, 61873117, 61832012, 61771231, 61771289); Natural Science Foundation of Shandong Province (ZR2019MF062); Shandong University Science and Technology Program Project (J18A326); Guangxi Key Laboratory of Cryptography and Information Security (No: GCIS202112); The Major Basic Research Project of Natural Science Foundation of Shandong Province of China (ZR2018ZC0438); Major Scientific and Technological Special Project of Guizhou Province(20183001), Foundation of Guizhou Provincial Key Laboratory of Public Big Data (No. 2019BD-KFJJ009), Talent project of Guizhou Big Data Academy. Guizhou Provincial Key Laboratory of Public Big Data. ([2018]01)

History

Author affiliation

School of Informatics

Version

  • AM (Accepted Manuscript)

Published in

Information Sciences

Volume

601

Publisher

Elsevier

issn

0020-0255

Acceptance date

2022-04-04

Copyright date

2022

Available date

2023-08-10

Language

en

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