An intrusion detection system collects and analyzes information from different areas within a
computer or a network to identify possible security threats that include threats from both …

The success of any Intrusion Detection System (IDS) is a complicated problem due to its
nonlinearity and the quantitative or qualitative network traffic data stream with many features …

ABSTRACT IDS which are increasingly a key part of system defense are used to identify
abnormal activities in a computer system. In general, the traditional intrusion detection relies …

Increasing numbers of interconnected networks to the internet have led to an increase in
cyber attacks which necessitates the need for an effective intrusion detection system. In this …

This paper intends to develop some novel hybrid intelligent systems by combining naïve
Bayes with decision trees (NBDT) and by combining non‐nested generalized exemplar …

现有的基于机器学习的入侵检测方法大多专注于提高整体检测率和降低整体的漏报率,
忽视了少数类别的检测率和漏报率, 为此, 提出了一种基于SmOTE …

(IDS) is a complicated problem due to its nonlinearity and the quantitative or qualitative
network traffic data stream with many features. To get rid of this problem, several types of …

With the advancement in technology, our society has become so dependent on the internet
and the number of internet users keeps rising each day. However, with the increased users …

Intrusion detection system (IDS) is used to find malicious connections and protect networks
from external or internal attacks. Various fuzzy or fuzzy intelligence approaches have been …

The success of any Intrusion Detection System (IDS) is a complicated problem due to its
nonlinearity and the quantitative or qualitative network traffic data stream with numerous …