Research on the Detection Method of Information System Access Abnormal Behaviour
Linghao Zhang, Sheng Wang, Siyu Xiang, Jie Zhang, Yunhui Liang · Journal of Physics Conference Series · 2021
Abstract The security of the information system is very important to the production of electric power companies. However, at this stage, there are still problems such as the inability to detect abnormal/malicious behaviors and traffic of the terminals in the network, and the inability to detect and deal with abnormal behaviors in a timely manner, leading to increased risks. This paper chooses to start with the detection of abnormal traffic as the research goal, and realizes the detection and classification of abnormal network traffic through the convolutional neural network algorithm to achieve the detection of abnormal behavior of information system access. It plays a fundamental role in many network security-related tasks, such as the design of a network traffic anomaly detection system, and has very important practical significance.