Selfish mining in Proof-of-Work blockchain with multiple miners: An empirical evaluation
Selfish mining in Proof-of-Work blockchain with multiple miners: An empirical evaluation
  Proof-of-Work blockchain, despite its numerous benefits, is still not an entirely secure technology due to the existence of Selfish Mining (SM) strategies that can disrupt the system and its mining economy. While the effect of SM has been studied mostly in a two-miners scenario, it has not been investigated in a more practical context where there are multiple malicious miners individually performing SM.
To fill this gap, we carry out an empirical study that separately accounts for different numbers of SM miners (who always perform SM) and strategic miners (who choose either SM or Nakamoto's mining protocol depending on which maximises their individual mining reward).
Our result shows that SM is generally more effective as the number of SM miners increases, however its effectiveness does not vary in the presence of a large number of strategic miners. Under specific mining power distributions, we also demonstrate that multiple miners can perform SM and simultaneously gain higher mining rewards than they should. Surprisingly, we also show that the more strategic miners there are, the more robust the systems become. Since blockchain miners should naturally be seen as self-interested strategic miners, our findings encourage blockchain system developers and engineers to attract as many miners as possible to prevent SM and similar behaviour.
  Selfish mining, Proof-of-Work blockchain, Agent-based model, Empirical multiplayer game
  
  
  219-234
  
  
    
      Leelavimolsilp, Tin
      
        ced82206-5549-4cbc-8bdc-0046c63fa3e7
      
     
  
    
      Nguyen, Viet
      
        6bd4d8a6-a58b-4f3d-9060-c7671583c5c2
      
     
  
    
      Stein, Sebastian
      
        cb2325e7-5e63-475e-8a69-9db2dfbdb00b
      
     
  
    
      Tran-Thanh, Long
      
        e0666669-d34b-460e-950d-e8b139fab16c
      
     
  
  
    
  
    
  
    
  
    
  
    
  
   
  
  
    
    
  
    
      2019
    
    
  
  
    
      Leelavimolsilp, Tin
      
        ced82206-5549-4cbc-8bdc-0046c63fa3e7
      
     
  
    
      Nguyen, Viet
      
        6bd4d8a6-a58b-4f3d-9060-c7671583c5c2
      
     
  
    
      Stein, Sebastian
      
        cb2325e7-5e63-475e-8a69-9db2dfbdb00b
      
     
  
    
      Tran-Thanh, Long
      
        e0666669-d34b-460e-950d-e8b139fab16c
      
     
  
    
  
    
  
    
  
    
  
    
  
       
    
 
  
    
      
  
  
  
  
    Leelavimolsilp, Tin, Nguyen, Viet, Stein, Sebastian and Tran-Thanh, Long
  
  
  
  
   
    (2019)
  
  
    
    Selfish mining in Proof-of-Work blockchain with multiple miners: An empirical evaluation.
  
  
  
    
      Baldoni, Matteo, Dastani, Mehdi, Liao, Beishui, Sakurai, Yuko and Zalila-Wenkstern, Rym 
      (eds.)
    
  
  
   In PRIMA 2019: Principles and Practice of Multi-Agent Systems. 
  vol. 11873, 
      Springer. 
          
          
        .
    
  
  
  
   (doi:10.1007/978-3-030-33792-6_14).
  
   
  
    
      Record type:
      Conference or Workshop Item
      (Paper)
      
      
    
   
    
    
      
        
          Abstract
          Proof-of-Work blockchain, despite its numerous benefits, is still not an entirely secure technology due to the existence of Selfish Mining (SM) strategies that can disrupt the system and its mining economy. While the effect of SM has been studied mostly in a two-miners scenario, it has not been investigated in a more practical context where there are multiple malicious miners individually performing SM.
To fill this gap, we carry out an empirical study that separately accounts for different numbers of SM miners (who always perform SM) and strategic miners (who choose either SM or Nakamoto's mining protocol depending on which maximises their individual mining reward).
Our result shows that SM is generally more effective as the number of SM miners increases, however its effectiveness does not vary in the presence of a large number of strategic miners. Under specific mining power distributions, we also demonstrate that multiple miners can perform SM and simultaneously gain higher mining rewards than they should. Surprisingly, we also show that the more strategic miners there are, the more robust the systems become. Since blockchain miners should naturally be seen as self-interested strategic miners, our findings encourage blockchain system developers and engineers to attract as many miners as possible to prevent SM and similar behaviour.
         
      
      
        
          
            
  
    Text
 Selfish_Mining_in_Proof_of_Work_Blockchain_with_Multiple_Miners__An_Empirical_Evaluation
     - Accepted Manuscript
   
  
  
    
  
 
          
            
          
            
           
            
           
        
        
       
    
   
  
  
  More information
  
    
      e-pub ahead of print date: 21 October 2019
 
    
      Published date: 2019
 
    
  
  
    
  
    
  
    
  
    
  
    
  
    
     
        Keywords:
        Selfish mining, Proof-of-Work blockchain, Agent-based model, Empirical multiplayer game
      
    
  
    
  
    
  
  
        Identifiers
        Local EPrints ID: 435393
        URI: http://eprints.soton.ac.uk/id/eprint/435393
        
          
        
        
        
          ISSN: 0302-9743
        
        
          PURE UUID: ea974a8c-b252-4d0e-9491-c4c87d4b9cd4
        
  
    
        
          
            
              
            
          
        
    
        
          
        
    
        
          
            
              
            
          
        
    
        
          
            
              
            
          
        
    
        
          
            
          
        
    
        
          
            
          
        
    
        
          
            
          
        
    
        
          
            
          
        
    
        
          
            
          
        
    
  
  Catalogue record
  Date deposited: 01 Nov 2019 17:30
  Last modified: 17 Mar 2024 03:13
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      Contributors
      
          
          Author:
          
            
              
              
                Tin Leelavimolsilp
              
              
                
              
            
            
          
         
      
          
          Author:
          
            
            
              Viet Nguyen
            
          
        
      
          
          Author:
          
            
              
              
                Sebastian Stein
              
              
                
              
            
            
          
         
      
          
          Author:
          
            
              
              
                Long Tran-Thanh
              
              
                
              
            
            
          
         
      
          
          Editor:
          
            
              
              
                Matteo Baldoni
              
              
            
            
          
        
      
          
          Editor:
          
            
              
              
                Mehdi Dastani
              
              
            
            
          
        
      
          
          Editor:
          
            
              
              
                Beishui Liao
              
              
            
            
          
        
      
          
          Editor:
          
            
              
              
                Yuko Sakurai
              
              
            
            
          
        
      
          
          Editor:
          
            
              
              
                Rym Zalila-Wenkstern
              
              
            
            
          
        
      
      
      
    
  
   
  
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