A Study on Prevention and Automatic Recovery of Blockchain Networks Against Persistent Censorship Attacks

A Study on Prevention and Automatic Recovery of Blockchain Networks Against Persistent Censorship Attacks

Blog Article

Blockchain techniques have been actively used in a wide range of applications owing Statues to their unforgeable characteristics.Currently, many blockchain platforms are applying a pBFT-based Delegate PoS(DPoS) consensus mechanism in their networks, because it ensures a quick consensus process since only a few validators participate in the consensus process.However, the pBFT-based DPoS consensus mechanism has a limitation that a malicious cartel with more than 1/3 of the total stake can launch persistent censorship attacks which disrupt the consensus process.To address this limitation, we propose a new defense method against persistent censorship attacks.

First, we introduce a hierarchical consensus architecture that consists of the main-validators and sub-validators.In our consensus architecture, sub-validators can disagree with the results of the consensus process of main-validators known as existing validators.As the number of disagreeing sub-validators increases, the cost of censorship attacks increases.Second, we propose a behavior-based credit-scoring function that can operate on our consensus architecture.

Our proposed function changes the Bike Parts - Pedals - Clipless role of the validators based on their behavior, thereby disrupting the formation of malicious cartels and removing the persistence of censorship attacks.We show that our proposed defense method makes a blockchain network more tolerant and resistant to censorship attacks based on experimental results using validator information collected from a real blockchain network.We also demonstrate that our defense method can automatically recover the blockchain network from persistent censorship attacks.