In this paper we present a new approach for network intrusion detection based on concise specifications that characterize normal and abnormal network packet sequences. Our speci...
Email worms continue to be a persistent problem, indicating that current approaches against this class of selfpropagating malicious code yield rather meagre results. Additionally,...
Most clustering algorithms in fMRI analysis implicitly require some nontrivial assumption on data structure. Due to arbitrary distribution of fMRI time series in the temporal doma...
—Network Intrusion Detection Systems (NIDS) are more and more important in today’s network security for identifying and preventing malicious attacks over the network. This pape...
Cooperative intrusion detection techniques for MANETs utilize ordinary computing hosts as network intrusion sensors. If compromised, these hosts may inject bogus data into the int...
Daniel Sterne, Geoffrey Lawler, Richard Gopaul, Br...