【摘要】 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。更多还原

【Abstract】 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.更多还原