Using Multi-dimensional Quorums for Optimal Resilience in Multi-resource Blockchains

被引:0
|
作者
Sun, Yucheng [1 ]
Hou, Ruomu [1 ]
Yu, Haifeng [1 ]
机构
[1] School of Computing, National University of Singapore, Singapore, Singapore
关键词
D O I
10.1145/3665338
中图分类号
学科分类号
摘要
Permissionless blockchains commonly use resource challenges to defend against sybil attacks. For example, popular resource challenge designs include Proof-of-Work and Proof-of-Stake. It is well-known that simultaneously exploiting multiple resources can help make a permissionless blockchain more robust. For example, combining PoW and PoS can help to keep a blockchain secure, even when the attacker controls more than 50% of the computational power in the system. While there have been existing efforts for combining multiple resources in blockchains, they only provide partial solutions. Specifically, it is currently still unclear how to combine PoW and PoS, or multiple resources in general, to achieve optimal resilience. Here, by optimal resilience, we mean that the blockchain can tolerate every security region, unless that security region is proven to be impossible to tolerate. Existing designs are not able to achieve such optimal resilience. As our central contribution, this work proposes the novel design and formal security analysis of a blockchain protocol that combines PoS and PoW, which can be further generalized to multiple resources. Our blockchain is the very first blockchain that can achieve optimal resilience. Our design also overcomes a common tricky issue of PoW difficulty adjustment in previous designs. We have further implemented a research prototype of our blockchain design and experimentally demonstrated its good end-to-end performance. © 2024 Copyright held by the owner/author(s).
引用
收藏
相关论文
共 50 条
  • [41] Multi-Resource Trade-Offs in Resilience Planning Decisions for Power Distribution Systems
    Poudyal, Abodh
    Dubey, Anamika
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2024, 60 (06) : 8031 - 8043
  • [42] Resource Allocation to Minimize the Makespan with Multi-Resource Operations
    WENG Wuyan
    CHU Chengbin
    WU Peng
    JournalofSystemsScience&Complexity, 2024, 37 (05) : 2054 - 2070
  • [43] Capturing Resource Tradeoffs in Fair Multi-Resource Allocation
    Zarchy, Doron
    Hay, David
    Schapira, Michael
    2015 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (INFOCOM), 2015,
  • [44] On multi-resource procurement in internet access markets: Optimal strategies and market equilibrium
    Shi, Lianjie
    Wang, Xin
    Ma, Richard T. B.
    PERFORMANCE EVALUATION, 2020, 143
  • [45] Resource Allocation to Minimize the Makespan with Multi-Resource Operations
    Weng, Wuyan
    Chu, Chengbin
    Wu, Peng
    JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2024, 37 (05) : 2054 - 2070
  • [46] Multi-dimensional hurricane resilience assessment of electric power systems
    Ouyang, Min
    Duenas-Osorio, Leonardo
    STRUCTURAL SAFETY, 2014, 48 : 15 - 24
  • [47] Optimal Control of DDoS defense with Multi-Resource Max-min Fairness
    Wei, Wei
    Dong, Yabo
    Lu, Dongming
    Jin, Guang
    2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 1 - +
  • [48] Disaster resilience in Pakistan: A comprehensive multi-dimensional spatial profiling
    Sajjad, Muhammad
    APPLIED GEOGRAPHY, 2021, 126
  • [49] Resource Allocation Optimization Method with Multi-Resource Operations
    Weng, Wuyan
    Chu, Chengbin
    Wu, Peng
    Computer Engineering and Applications, 60 (21): : 324 - 330
  • [50] Integrated resource management and scheduling with multi-resource constraints
    Ghosh, S
    Hansen, J
    Rajkumar, R
    Lehoczky, J
    25TH IEEE INTERNATIONAL REAL-TIME SYSTEMS SYMPOSIUM, PROCEEDINGS, 2004, : 12 - 22