Accounting Data Encryption Processing Based on K-Means Clustering Algorithm
Qiqi Wei · Procedia Computer Science · 2024
Accounting information research is developing rapidly, the security of accounting information has been an important issue. Traditional cryptography has many disadvantages, such as low reliability and low security. This paper studies the method of accounting data encryption based on KMCA, classifies the accounting data according to specific characteristics, and encrypts each classification to ensure the confidentiality of accounting data. The K-Means clustering algorithm is used to classify the accounting data, and the data set is divided into several categories by calculating the distance between the cluster center and the samples. Experimental results show that the data encryption based on KMA significantly improves the security (Max:9.74) and reliability of data, compared with the decision tree method, KMA has significant advantages in data encryption.