摘要
针对各种恶意攻击及滥用资源的网络现象,提出一种新的基于流数据的网络安全检测算法。采用可调节大小的滑动窗口,使用收银机模型、十字转门模型与时间序列模型进行流数据处理和挖掘,以检测并预警不安全的网络流。
Based on the phenomenon that network security has been threatened by various hostile attacks and misuse of the network resources, a new network security detection algorithm based on data stream is proposed in this paper. With adjustable sliding windows, this algorithm utilizes cash register model, turnstile model and time series model to analyze the stream data for misuse and anomaly detection.
出处
《重庆科技学院学报(自然科学版)》
CAS
2016年第4期109-112,共4页
Journal of Chongqing University of Science and Technology:Natural Sciences Edition
基金
安徽省高校优秀青年人才基金重点项目"基于Dataf Stream的实时网络监控系统设计"(2013SQL138ZD)
关键词
流数据
滑动窗口
安全检测
桶
stream data
sliding window
security monitoring
bucket