Information Data Flow Verification Model based on Blockchain Technology

Abstract

In the wave of digital transformation, the secure flow of information and data and authenticity verification have become vital challenges. This paper proposes an innovative information data flow verification model based on blockchain technology to build an efficient, transparent and immutable data flow environment. The model uses the distributed ledger characteristics of blockchain to guarantee the integrity of data and introduces advanced identity management mechanisms and trust management algorithms to enhance security and trust in the data flow process. This paper then uses an improved consensus algorithm, combined with innovative contract technology, to ensure the legitimacy and traceability of each data transaction. Through digital signature and public critical infrastructure (PKI), the identity management module realizes accurate authentication of user identity and privacy protection. The trust management algorithm dynamically evaluates the credit rating of both sides of the transaction based on historical transaction records and user behavior pattern analysis, providing additional security for data flow. The model simulation results show its excellent performance in practical application scenarios. Via the experimentation involving the circulation assessment of ten thousand units of informational data, the mean validation duration for the framework stands at twenty-five milliseconds, whilst the precision of datum integrity scrutiny attains a commendable 99.9%, markedly amplifying the celerity and steadfastness of informational dissemination. Moreover, the architecture manifested commendable fortitude against nefarious onslaughts, effectively thwarting in excess of 95% endeavors aimed at injecting counterfeit data, thereby substantiating its resilience within intricate networking milieus.