Open AccessAbnormal Detection and Correlation Analysis of Communication Network Traffic Based on Behavior
Author(s) -
Wen-Long Jin,
Limei Fang,
Wang Liujing
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/3/032087
Subject(s) - anomaly detection , computer science , correlation , network traffic simulation , telecommunications network , anomaly (physics) , traffic analysis , traffic generation model , computer network , data mining , network traffic control , mathematics , geometry , physics , network packet , condensed matter physics
Nowadays, with the rapid development of communication network technology, the structure of communication network is becoming more and more complex. In order to avoid users being attacked from the computer network, it is necessary to detect abnormal traffic behavior in the computer network and prevent possible network attacks in time. This paper expounds the definition of traffic anomaly detection and correlation analysis, studies the problem of traffic anomaly detection in communication network, and analyses the correlation of abnormal behavior.