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...
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...
To appropriately address the problem of large-scale distributed intrusion assessment/detection, issues such as information exchange, work division and coordination amongst various...
Web servers are ubiquitous, remotely accessible, and often misconfigured. In addition, custom web-based applications may introduce vulnerabilities that are overlooked even by the ...
Giovanni Vigna, William K. Robertson, Vishal Kher,...