摘要
随着信息技术的快速发展,内部威胁已经成为许多组织面临的严重挑战。为了有效应对这一挑战,文中提出了一种基于异常检测的内部威胁识别系统。该系统利用先进的异常检测算法,结合了日志分析和行为模式识别的技术,能及时、准确地识别潜在的内部威胁行为。在实验中,使用了实际的数据集进行验证,并与传统的威胁检测方法进行了比较。实验结果表明,该系统在识别内部威胁方面具有明显优势,表现出了较高的准确性和效率。
With the rapid development of information technology,internal threats have become a serious challenge faced by many organizations.To effectively address this challenge,thispaper proposes an internal threat recognition system based on anomaly detection.The system utilizes advanced anomaly detection algorithms,combined with log analysis and behavior pattern recognition techniques,to timely and accurately identify potential internal threat behaviors.In the experiment,actual datasets were used for validation and compared with traditional threat detection methods.The experimental results indicate that the system has significant advantages in identifying internal threats,demonstrating high accuracy and efficiency.
作者
刘爱国
LIU Aiguo(Shenyang Open University,Shenyang 110003,China)
出处
《移动信息》
2024年第5期152-154,共3页
MOBILE INFORMATION
关键词
内部威胁
异常检测
日志分析
行为模式识别
安全
Internal threat
Anomaly detection
Log analysis
Behavioral pattern recognition
Security
