Remote Data Security Monitoring Technology for Computer Networks Based on Machine Learning Algorithms.

In the field of computer network communication, there are various types of data, and these data have strong commercial value. Therefore, it is particularly important to apply them to relevant security monitoring. This article analyzes and studies the problems in remote detection of computer networks using machine learning algorithms. Firstly, three key technologies based on classifiers, feature extraction, and association rule recognition were introduced. Secondly, how to use machine learning methods to evaluate the performance indicators and operational effectiveness data statistics of computer network security monitoring systems was explained. Finally, this article tests the monitoring technology of the system, and the test results show that the security of the technology for data monitoring can reach over 94%. [ABSTRACT FROM AUTHOR]