A multi-level intrusion detection method for abnormal network behaviors.
Journal of Network and Computer Applications(2016)
摘要
Abnormal network traffic analysis has become an increasingly important research topic to protect computing infrastructures from intruders. Yet, it is challenging to accurately discover threats due to the high volume of network traffic. To have better knowledge about network intrusions, this paper focuses on designing a multi-level network detection method. Mainly, it is composed of three steps as (1) understanding hidden underlying patterns from network traffic data by creating reliable rules to identify network abnormality, (2) generating a predictive model to determine exact attack categories, and (3) integrating a visual analytics tool to conduct an interactive visual analysis and validate the identified intrusions with transparent reasons.
更多查看译文
关键词
Network traffic analysis,Discrete wavelet transform,Visual analytics,Support vector machine
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络