Abstract Network Intrusion Detection is the process of monitoring the events occurring in a
computer system or the network and analyzing them for the signs of possible intrusions. An …

In this paper, we introduce a new machine-learning-based data classification algorithm that
is applied to network intrusion detection. The basic task is to classify network activities (in the …

Intrusion Detection Systems (IDS) have nowadays become a necessary component of
almost every security infrastructure. So far, many different approaches have been followed in …

The growth of data and categories of attacks, demand the use of Intrusion Detection System
(IDS) effectively using Machine Learning (ML) and Deep Learning (DL) techniques. Apart …

Construction and deployment of finite state automata from the regular expressions might
results in huge overhead and results in the state explosion problem which is in need of large …

In wireless sensor networks (WSNs), sensor nodes regularly monitor environment and
transmit measured values for specific phenomena to a central point called base station (BS) …

An intrusion detection system (IDS) is an active process or device that analyzes system and
network activity for unauthorized entry. Nowadays many intrusion detection systems are …

Intrusion Detection System (IDS) are playing a very substantial role in protecting computer
networks. Still conventional IDS finds itself limited when it comes to distribute intrusion …