Hash Algorithm Optimization for Long-Span Digital Currency Transactions Based on Multi-Constraint Optimization

Abstract

Block chain technology and satellite integration to achieve wide-area security transactions has become a hot topic in the field of information security. It will face two major problems: the real-time transmission of large-span digital currency and the credibility of digital currency transmission under complex interference. In order to solve the above problems, this paper proposes a multi-constrained optimization-based hashing algorithm for long-span digital currency transactions. By analyzing satellite communication means and one-way hashing operation, the relationship between time delays under long-span digital currency transmission is obtained. By optimizing the hashing operation of constraints, the algorithm is improved largely. The adaptive ability of bit error rate (BER) and the construction of digital token based on multi-constraint enhanced hash algorithm provide a reliable authentication benchmark for digital currency transactions, design a large-span digital currency transaction process, and effectively suppress the information leakage caused by interference in the transmission process. The simulation results show that the performance of the proposed algorithm is greatly improved in security and complexity.