Network Intrusion Detection Systems (NIDSs) are widely-deployed security tools for
detecting cyber-attacks and activities conducted by intruders for observing network traffics …

This patent application also claims priority to the US provisional patent application Ser. No.
60/265,194 entitled “The Use of Flows to Analyze Network Traffic'filed on Jan. 31, 2001 …

Sorting is among the most fundamental and well-studied problems within computer science
and a core step of many algorithms. In this article, we consider the problem of constructing a …

Internet services and applications have become an inextricable part of daily life, enabling
communication and the management of personal information from anywhere. To …

The KDD Cup'99 data set has been widely used to evaluate intrusion detection prototypes,
most based on machine learning techniques, for nearly a decade. The data set served well …

A method and system for managing an intrusion on a computer by graphically representing
an intrusion pattern of a known past intrusion, and then comparing the intrusion pattern of …

The surveillance of large sea areas typically involves the analysis of huge quantities of
heterogeneous data. In order to support the operator while monitoring maritime traffic, the …

Authorization systems are an integral part of any network where resources need to be
protected. They act as the gateway for providing (or denying) subjects (users) access to …

Feature selection is a preprocessing step to machine learning, used to reduce the
dimensionality of the dataset by removing irrelevant data. Variety of feature selection …

Intrusion detection systems (IDS) are essential components in a secure network
environment, allowing for early detection of malicious activities and attacks. By employing …