基于大数据分析的校园电子邮件异常行为检测技术研究

Abnormal behavior detection for campus email systems based on big data analysis

基于大数据分析技术,提出了针对校园电子邮件系统暴力破解的识别方法,该方法可以检测出低频率和分布式暴力破解攻击,并在此基础上结合校园网特点,使用多种校园网数据,提出并实现了基于情景感知的电子邮件异常行为检测系统。

This paper proposes a brute force attacks detection method based on big data analysis.This approach can detect low-frequency and distributed brute force attacks targeting campus email systems.Furthermore,this paper introduces a context-aware abnormal behavior detection framework for campus email systems by utilizing supplemental information from campus networks.