Partial Selfish Mining for More Profits
Jiaping Yu, Shang Gao, Rui Song, Zhiping Cai, Bin Xiao

TL;DR
This paper introduces Partial Selfish Mining (PSM), a novel attack strategy in blockchain mining where attackers release partial blocks to attract rational miners, increasing their profits beyond traditional selfish mining.
Contribution
The paper proposes a new Partial Selfish Mining attack and an advanced version, demonstrating increased profitability over existing selfish mining strategies through theoretical and experimental analysis.
Findings
PSM can outperform traditional selfish mining under certain conditions.
A-PSM further increases attacker profits, surpassing honest mining.
Both attacks are feasible and more profitable with rational miner cooperation.
Abstract
Mining attacks aim to gain an unfair share of extra rewards in the blockchain mining. Selfish mining can preserve discovered blocks and strategically release them, wasting honest miners' computing resources and getting higher profits. Previous mining attacks either conceal the mined whole blocks (hiding or discarding), or release them completely in a particular time slot (e.g., causing a fork). In this paper, we extend the mining attack's strategy space to partial block sharing, and propose a new and feasible Partial Selfish Mining (PSM) attack. We show that by releasing partial block data publicly and attracting rational miners to work on attacker's private branch, attackers and these attracted miners can gain an unfair share of mining rewards. We then propose Advanced PSM (A-PSM) attack that can further improve attackers' profits to be no less than the selfish mining. Both theoretical…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Spam and Phishing Detection · Crime, Illicit Activities, and Governance
