Accurate identification of misuse is a key factor in determining appropriate ways to protect systems. Modern intrusion detection systems often use alerts from different sources su...
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
In this paper we present a new approach for network intrusion detection based on concise speciļ¬cations that characterize normal and abnormal network packet sequences. Our speciļ...
Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human us...
: Although the main aim of IDSs is to detect intrusions to prompt evasive measures, a further aim can be to supply evidence in criminal and civil legal proceedings. However the fea...