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 ...
We present a formal framework for the analysis of intrusion detection systems (IDS) that employ declarative rules for attack recognition, e.g. specification-based intrusion detect...
Tao Song, Calvin Ko, Jim Alves-Foss, Cui Zhang, Ka...
: - Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffect...
Automated rule induction procedures like machine learning and statistical techniques result in rules that lack generalization and maintainability. Developing rules manually throug...
This paper presents and experimentally evaluates two parallelization strategies for the popular open-source Snort network intrusion detection system (NIDS). Snort identifies intr...