Block withholding game among bitcoin mining pools

被引:26
作者
Haghighat, Alireza Toroghi [1 ]
Shajari, Mehdi [1 ]
机构
[1] Amirkabir Univ Technol, Tehran, Iran
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2019年 / 97卷
关键词
Bitcoin; Pooled mining; Block withholding attack; Game theory;
D O I
10.1016/j.future.2019.03.002
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Although mining pools smooth out Bitcoin rewards and make it more predictable for an individual miner, they concentrate power to the pool's operator. There are multiple huge mining pools, and each of them may possess up to 30% of the total computation power of the Bitcoin network (the same applies to some other altcoins). Putting such enormous computation power in the hands of pool operators provides the necessary incentive for them to misuse their power over the network. One way to misuse this power is to launch a block withholding attack against other mining pools. Indeed, this ability starts a block withholding game among the pool operators. Some researchers have analyzed such a game. However, their analyses were limited because they considered simple scenarios, e.g., a single-shot game between only two mining pools. In this paper, we first demonstrate that the block withholding game is a stochastic game with finitely many states and actions. Then, we use a reinforcement learning method to analyze this game. Our simulation results show that in the recent four years, by launching a block withholding attack some pools had the potential to reach to the majority (51%) of the total computation power of the network with much lower initial computation power (even with less than 25% of the total computation power of the network). (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:482 / 491
页数:10
相关论文
共 50 条
  • [1] Bitcoin Mining Pools: A Cooperative Game Theoretic Analysis
    Lewenberg, Yoad
    Bachrach, Yoram
    Sompolinsky, Yonatan
    Zohar, Aviv
    Rosenschein, Jeffrey S.
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS (AAMAS'15), 2015, : 919 - 927
  • [2] Sending Spies as Insurance Against Bitcoin Pool Mining Block Withholding Attacks
    Okada, Isamu
    De Silva, Hannelore
    Paruch, Krzysztof
    DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2022 WORKSHOPS, 2022, 1633 : 245 - 257
  • [3] Optimal Block Withholding Strategies for Blockchain Mining Pools
    Qin, Rui
    Yuan, Yong
    Wang, Fei-Yue
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2020, 7 (03) : 709 - 717
  • [4] Bitcoin Mining with Transaction Fees: A Game on the Block Size
    Jiang, Suhan
    Wu, Jie
    2019 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2019), 2019, : 107 - 115
  • [5] Game-Theoretic Analysis of DDoS Attacks Against Bitcoin Mining Pools
    Johnson, Benjamin
    Laszka, Aron
    Grossklags, Jens
    Vasek, Marie
    Moore, Tyler
    FINANCIAL CRYPTOGRAPHY AND DATA SECURITY: FC 2014 WORKSHOPS, BITCOIN AND WAHC 2014, 2014, 8438 : 72 - 86
  • [6] Discouraging pool block withholding attacks in Bitcoin
    Zhihuai Chen
    Bo Li
    Xiaohan Shan
    Xiaoming Sun
    Jialin Zhang
    Journal of Combinatorial Optimization, 2022, 43 : 444 - 459
  • [7] Discouraging pool block withholding attacks in Bitcoin
    Chen, Zhihuai
    Li, Bo
    Shan, Xiaohan
    Sun, Xiaoming
    Zhang, Jialin
    JOURNAL OF COMBINATORIAL OPTIMIZATION, 2022, 43 (02) : 444 - 459
  • [8] The Mining Selection in Multi-pools Under Block WithHolding Attack
    Tuo, Jianyong
    Qin, Guangyu
    Shang, Kailun
    Wang, Youqing
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 7454 - 7459
  • [9] When Bitcoin Mining Pools Run Dry A Game-Theoretic Analysis of the Long-Term Impact of Attacks Between Mining Pools
    Laszka, Aron
    Johnson, Benjamin
    Grossklags, Jens
    FINANCIAL CRYPTOGRAPHY AND DATA SECURITY (FC 2015), 2015, 8976 : 63 - 77
  • [10] Equilibrium analysis of bitcoin block withholding attack: A generalized model
    Di, Wu
    Liu Xiang-dong
    Yan Xiang-bin
    Rui, Peng
    Gang, Li
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 185 : 318 - 328