We introduce a new method for detecting intrusions based on the temporal behavior of applications. It builds on an existing method of application intrusion detection developed at ...
-- Most network intruders launch their attacks through stepping-stones to reduce the risks of being discovered. To uncover such intrusions, one prevalent, challenging, and critical...
Guoqing Zhao, Jianhua Yang, Gurdeep S. Hura, Long ...
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
In this paper, we propose a new intrusion detection model, which keeps advantages of existing misuse detection model and anomaly detection model and resolves their problems. This ...