Publication:

Proof-of-Work cryptocurrency mining: a statistical approach to fairness

Date

Date

Date
2020
Conference or Workshop Item
Published version

Citations

Citation copied

Li, S.-N., Yang, Z., & Tessone, C. J. (2020, August 9). Proof-of-Work cryptocurrency mining: a statistical approach to fairness. 2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops), Chongqing. https://doi.org/10.1109/icccworkshops49972.2020.9209934

Abstract

Abstract

Abstract

In Proof-of-Work Blockchain-based systems, the ledger is kept consistent through some participants solving cryptopuzzles, usually referred to as block mining. Conventional wisdom asserts that the mining protocol is incentive-compatible. However, whether some strategic mining behaviors occur in practice or not, has been the subject of extensive debate. In this paper, we target this question by detecting anomalies in the statistics of consecutive blocks among several popular cryptocurrency systems. Firstly, we measure the inequality of

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Creators (Authors)

Event Title

Event Title

Event Title
2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops)

Event Location

Event Location

Event Location
Chongqing

Event Country

Event Country

Event Country
China

Event Start Date

Event Start Date

Event Start Date
2020-08-09

Event End Date

Event End Date

Event End Date
2020-08-11

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Date available

Date available

Date available
2024-11-28

OA Status

OA Status

OA Status
Green

Free Access at

Free Access at

Free Access at
Unbekannt

Citations

Citation copied

Li, S.-N., Yang, Z., & Tessone, C. J. (2020, August 9). Proof-of-Work cryptocurrency mining: a statistical approach to fairness. 2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops), Chongqing. https://doi.org/10.1109/icccworkshops49972.2020.9209934

Green Open Access
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