"Encryption Boost for Cross-Border E-commerce - 'Privacy Information Encryption for Cross-Border E-commerce Users Based on Social Network Analysis'"
A team of researchers in China has introduced a novel approach to improving privacy for cross-border e-commerce users. The presented encryption algorithm is based on social network analysis, which could help users maintain security when transferring sensitive information during international transactions. The team has implemented a multifaceted strategy, initially using a logical inference mapping method for blockchain to encode public and private keys with asymmetric encryption. The social network analysis method then reorganizes the user's social network structure through arithmetic coding and homomorphic encryption. Social network analysis focuses on mapping and measuring the different relationships to gain insight into patterns within the network. This approach streamlines user information fusion processing and enables the optimization of the encryption tool. This article continues to discuss the team's approach to strengthen privacy for cross-border e-commerce users.
Submitted by grigby1