Privacy Data Editing Mechanism Based on Distributed Chameleon Hash Function
With the widespread application of blockchain technology in various fields,data security and user privacy are faced with many unknown threats and challenges.For illegal transaction data that maliciously carries user privacy or illegal attack code,a chameleon hash collision data editing mechanism(DecPRB)based on multi-party monitoring is designed through attribute strate-gy and chameleon hash algorithm.This DecPRB mechanism is based on the chameleon hash editing mechanism,optimized and de-signed with a trapdoor hash function that is easy to manage.By calculating hash collisions,blockchain historical data editing is achieved,illegal data(especially private data or attack code)that is publicly available on the blockchain can be deleted.Of course,during this update and editing process,all modification permissions are jointly monitored by all nodes on the chain.Finally,through security analysis,it is inferred that the DecPRB mechanism does not change the security attributes of the blockchain and has strong anti attack capabilities.Simulation experiments are conducted to verify the effectiveness of the DecPRB mechanism,which meets data security requirements.DecPRB mechanism can effectively protect data security and privacy issues in complex distributed network environments,especially distributed cloud computing and blockchain systems,and make a certain contribution to the development of the digital economy era.
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