Encryption method of annual bad debt accumulation information and reimbursement based on ant colony algorithm

Abstract

In the enterprise financial information management, the information security of reimbursement and annual bad debt accumulation cannot be ignored. In order to solve the problem that the plaintext exceeds the byte limit in information encryption and affects the encryption calculation time, an annual bad debt accumulation information and reimbursement encryption method is proposed based on ant colony algorithm. We first define all the variables including encryption method, organizations’ information and reimbursement encryption, Ant colony algorithm and then we utilized elliptic curve digital signature to process the data and to prevent the annual bad debt accumulation information data from being tampered with or replaced in the transmission process. Furthermore, one dimensional Logistic chaotic map and Tent chaotic map with good randomness are selected to generate chaotic sequences as keys, and they are grouped based on ant colony algorithm. Each group is XOR with the previous group of ciphertext, which shortens the plaintext bytes. The design of the encryption method for the accumulated information of annual bad debt accrual is completed through the operation and the second round of encryption. The plaintext data files with file sizes of 10MB, 50MB, 100MB and 200MB are selected for serial and parallel encryption calculation. It shows that the average speedup ratio of this method is 3.90, which is 0.44 and 0.46 higher than the encryption methods based on genetic algorithm and particle swarm optimization algorithm, so it has better encryption performance.