Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
Security of computer systems is essential to their acceptance and utility. Computer security analysts use intrusion detection systems to assist them in maintaining computer system...
Today’s signature-based intrusion detection systems are reactive in nature and storage-limited. Their operation depends upon catching an instance of an intrusion or virus and en...
Charles R. Haag, Gary B. Lamont, Paul D. Williams,...
This work focuses on the visual representation of relations towards aiding the exploration and analysis of network intrusions. Fundamentally, the visual representations aid an ana...
An Intrusion Detection System (IDS) is a crucial element of a network security posture. Although there are many IDS products available, it is rather difficult to find information ...