Security Management Method of Public Sentiment Analysis Based on Blockchain and Edge Computing

The popularization of the Internet and the rise of social media enable people to share and access information rapidly, leading to a significant increase in the importance of public opinion analysis. However, public opinion analysis still needs help with issues, such as data security, data sharing, and data credibility, which may result in information leakage and inaccurate analysis results. This article proposes a secure management method for public opinion analysis to address these issues. First, a group key management framework is proposed, and then device grouping and mutual authentication methods are used to determine device identity, addressing the data security issue. A dynamic key generation algorithm is proposed to solve the data sharing problem, and a group key management algorithm is implemented to manage the entire lifecycle of group keys, addressing the data credibility issue and establishing a more secure data processing, and storage environment for public opinion analysis. This article utilizes OpenEthereum to build a blockchain network and conducts simulation experiments on the proposed solution. After comprehensive evaluation, it is confirmed that the solution is efficient and scalable.