Security Technology of Computer Information System Based on Data Clustering Algorithm

In recent years, with the development of the Internet and the advancement of computer hardware and software technology, we are able to collect and store many types of data. In mining data information, unsupervised data clustering analysis is a very effective method and has a very important application value for the study of computer information system(CIS) confidentiality technology. Therefore, this paper is based on the data clustering algorithm to study the CIS confidentiality technology, through the study to ensure the security of information systems operation. This paper firstly describes the TLS technology and integrity identification technology, then designs the core function module of information system and clustering algorithm, and finally makes a detailed analysis of algorithm running time and system defence strategy, and draws conclusions. The research results show that OCS-FCM algorithm has the shortest running time and better running efficiency in all data sets. This paper selects OCS-FCM clustering algorithm to process system data.