Machine learning systems are deployed in many adversarial conditions like intrusion detection, where a classifier has to decide whether a sequence of actions come from a legitimat...
Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Sri...
Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion ...
Abstract. Accurate and swift responses are crucial to Intrusion Detection Systems (IDSs), especially if automatic abortion mechanisms are running. In keeping with this idea, this w...
To protect software against malicious activities, organizations are required to monitor security breaches. Intrusion Detection Systems (IDS) are those kinds of monitoring tools th...
The massive amount of alarm data generated from intrusion detection systems is cumbersome for network system administrators to analyze. Often, important details are overlooked and...
Kulsoom Abdullah, Christopher P. Lee, Gregory J. C...