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
  • [31] Multi-resource scheduling of moldable workflows
    Perotin, Lucas
    Kandaswamy, Sandhya
    Sun, Hongyang
    Raghavan, Padma
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2024, 184
  • [32] Strategic agents for multi-resource negotiation
    An, Bo
    Lesser, Victor
    Sim, Kwang Mong
    AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2011, 23 (01) : 114 - 153
  • [33] Multi-Resource Packing for Cluster Schedulers
    Grandl, Robert
    Ananthanarayanan, Ganesh
    Kandula, Srikanth
    Rao, Sriram
    Akella, Aditya
    SIGCOMM'14: PROCEEDINGS OF THE 2014 ACM CONFERENCE ON SPECIAL INTEREST GROUP ON DATA COMMUNICATION, 2014, : 455 - 466
  • [34] Multi-Resource Allocation for Network Slicing
    Fossati, Francesca
    Moretti, Stefano
    Perny, Patrice
    Secci, Stefano
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2020, 28 (03) : 1311 - 1324
  • [35] Strategic agents for multi-resource negotiation
    Bo An
    Victor Lesser
    Kwang Mong Sim
    Autonomous Agents and Multi-Agent Systems, 2011, 23 : 114 - 153
  • [36] Compositional Analysis for the Multi-Resource Server
    Inam, Rafia
    Behnam, Moris
    Nolte, Thomas
    Sjodin, Mikael
    PROCEEDINGS OF 2015 IEEE 20TH CONFERENCE ON EMERGING TECHNOLOGIES & FACTORY AUTOMATION (ETFA), 2015,
  • [37] Multi-Dimensional Critical Control of Water Resource in Bayannur
    Ju, Xuchan
    Tian, Yingjie
    Liu, Dalian
    Cheng, Manjin
    Xia, Yuhong
    Quo, Fuqiang
    3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2015, 2015, 55 : 238 - 245
  • [38] Multi-Resource Allocation to the Job using Bee Optimization Algorithm
    Divyalakshmi, S.
    Sivakumar, D.
    2014 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2014,
  • [39] Multi-dimensional Model Method for the Human Resource Allocation in Multi-project
    Chen Junjie
    Yun Chuxiu
    Wang Zhen
    2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 4, PROCEEDINGS, 2009, : 364 - +
  • [40] Resilience Optimization for Complex Engineered Systems Based on the Multi-Dimensional Resilience Concept
    Ren, Fuchun
    Zhao, Tingdi
    Jiao, Jian
    Hu, Yuqing
    IEEE ACCESS, 2017, 5 : 19352 - 19362