School of Computer and Information Technology, Mudanjiang Normal University, Heilongjiang, China.
First School of Clinical Medicine, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Comput Intell Neurosci. 2022 Apr 30;2022:1509000. doi: 10.1155/2022/1509000. eCollection 2022.
In light of the continuous development of Internet technology, many problems involving network security based on the blockchain have also been observed gradually. In this paper, the existence forms of network security hazards based on the blockchain are explored to establish a network blockchain security sharing model based on fuzzy logic. In security sharing, network blockchains are often maintained by many parties. This poses new potential threats and challenges to privacy protection in these multiparty network blockchains. This paper proposes a research scheme for a network blockchain security sharing model based on fuzzy logic. The tampering of the protected network blockchain is prevented by blockchain, and the fuzzy logic algorithm is used to ensure its confidentiality. This solution allows the exchange in the protected network blockchain and the security of transaction information based on the fuzzy logic algorithm. According to the results of the experiments, this method can ensure security sharing of the network blockchain with high practicality and achieve the expected design effect.
鉴于互联网技术的不断发展，基于区块链的网络安全问题也逐渐显现。本文探讨了基于区块链的网络安全隐患的存在形式，建立了基于模糊逻辑的网络区块链安全共享模型。在安全共享中，网络区块链通常由多方维护，这对这些多方网络区块链中的隐私保护提出了新的潜在威胁和挑战。本文提出了一种基于模糊逻辑的网络区块链安全共享模型的研究方案。通过区块链防止受保护的网络区块链被篡改，并使用模糊逻辑算法确保其机密性。该解决方案允许在受保护的网络区块链中进行信息交换，并基于模糊逻辑算法确保交易信息的安全性。根据实验结果，该方法可以确保网络区块链的安全共享，具有较高的实用性，达到了预期的设计效果。
