Over the past decade, Intrusion Detection Systems (IDS) have improved steadily in the efficiency and effectiveness with which they detect intrusive activity. This is particularly ...
Stateful, in-depth, inline traffic analysis for intrusion detection and prevention is growing increasingly more difficult as the data rates of modern networks rise. Yet it remai...
Models based on system calls are a popular and common approach to characterize the run-time behavior of programs. For example, system calls are used by intrusion detection systems...
Andrea Lanzi, Davide Balzarotti, Christopher Krueg...
A significant number of cyber assaults are attempted against open source internet support software written in C, C++, or Java. Examples of these software packages include the Apac...
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...