Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Abstract. Many host-based anomaly detection systems monitor process execution at the granularity of system calls. Other recently proposed schemes instead verify the destinations of...
Monirul I. Sharif, Kapil Singh, Jonathon T. Giffin...
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
A powerful strategy in intrusion detection is the separation of surveillance mechanisms from a site’s policy for processing observed events. The Bro intrusion detection system h...
In last decades there have been many proposals from the machine learning community in the intrusion detection field. One of the main problems that Intrusion Detection Systems (IDSs...