Abstract. In this work we present a NIDS cluster as a scalable solution for realizing high-performance, stateful network intrusion detection on commodity hardware. The design addre...
Matthias Vallentin, Robin Sommer, Jason Lee, Craig...
Malicious network traffic, including widespread worm activity, is a growing threat to Internet-connected networks and hosts. In this paper, we propose a network intrusion detectio...
- Pulse-coupled neural network (PCNN) is different from traditional artificial neural networks, which can be applied in many fields, such as image processing. A crucial step in dev...
- Ad hoc, actuator and sensor wireless networks normally have critical connectivity properties before becoming fault intolerant. Existing algorithms for testing k-connectivity are ...
— With the wide deployment of flow monitoring in IP networks, the analysis of the exported flow data has become an important research area. It has been shown that flow data ca...