Anomaly detection systems largely depend on user profile data to be able to detect deviation from normal activity. Most of this profile data is based on commands executed by use...
We address the problem of collecting unique items in a large stream of information in the context of Intrusion Prevention Systems (IPSs). IPSs detect attacks at gigabit speeds and...
Vinh The Lam, Michael Mitzenmacher, George Varghes...
Intrusion detection systems (IDSs) must maximize the realization of security goals while minimizing costs. In this paper, we study the problem of building cost-sensitive intrusion...
Wenke Lee, Wei Fan, Matthew Miller, Salvatore J. S...
This paper presents and experimentally evaluates two parallelization strategies for the popular open-source Snort network intrusion detection system (NIDS). Snort identifies intr...
—Network Intrusion Detection System (NIDS) is a system which can detect network attacks resulted from worms and viruses on the Internet. An efficient pattern matching algorithm p...