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Fueled by the capabilities of artificial intelligence and cloud computing, the development trend of future networks towards intelligence and marginalization is becoming increasingly evident. The knowledge-driven learning model as the basis of future network intelligence, fully utilizes various direct and indirect knowledge and automatic learning of knowledge variable values to achieve minimum resource cost and optimal communication capability. Correspondingly, security of the future wireless network faces new challenges. Traditional security schemes are generally composed of encryption, authentication, access control, and other modules. These schemes often require complex and centralized management systems, which are vulnerable to impersonation attacks, distributed denial of service attacks, and other network attacks. In recent years, blockchain technology has become a powerful tool for solving the above-mentioned problems due to its decentralized and tamper-resistant characteristics, that will effectively enhance wireless network defense capabilities. Many recent studies have explored using blockchain-based solutions in wireless networks to enhance the security capabilities of wireless networks by implementing distributed identity authentication, hierarchical access control, data security sharing, privacy protection, and other techniques. But the performance of blockchain has always been a fatal issue. This paper investigates the existing blockchain-based wireless network security solutions and sorts and categorizes them. Targeting the Characteristics of knowledge-driven wireless networks, this paper designs a partitioned and layered blockchain security architecture, and conducts experiments and security analysis on the architecture, the architecture can improve the transaction processing speed to a certain extent.
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