Implementation System of Network User Abnormal Behavior Detection Algorithm Based on Data Layering
Hongjun Zhu, Ruijie Gan · 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · 2021
With the rapid de velopment and popularization of mobile Internet in recent years, security issues have become increasingly prominent. Based on the mobile Internet, this paper studies the security issues caused by abnormal users for users, mobile devices, and social network service platforms. Aiming at the needs of users for detecting abnormal network behaviors in a real-time network environment, this paper designs and implements a data-based Layered network abnormal behavior detection system. The system is divided into a data acquisition module, a data conversion module, a rule editing module, an anomaly detection module, and a detection result visualization module.