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Fairness Matters: A Tit-For-Tat Strategy Against Selfish Mining

Summary: KL-divergence unfairness between mining power and revenue under selfish mining; TFT uses fork suspicion to delay honest blocks. Nonconvex delay-vector optimization for withholding time; two approximations, dynamic-network extension, and ~54% unfairness reduction in experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12914
Venue
VLDB
Year
2022
Pagerank
4.4039656e-05
Overall Rank
9,051 | 37.04%
DOI
10.14778/3565838.3565856

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3,743 Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives 2021 SIGMOD 6.795051e-05
6,426 Fluid: A Blockchain based Framework for Crowdsourcing 2019 SIGMOD 5.0670573e-05
11,470 When the Recursive Diversity Anonymity Meets the Ring Signature 2021 SIGMOD 4.1945683e-05
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