In this paper, a new learning algorithm for adaptive network intrusion detection using naive
Bayesian classifier and decision tree is presented, which performs balance detections and …

Most of the security threats in various communications networks are posed by the illegitimate
entities that enter or intrude within the network perimeter, which could commonly be termed …

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 …

Recently, information security has become a key issue in information technology as the
number of computer security breaches are exposed to an increasing number of security …

With the rapid expansion of computer usage and computer network the security of the
computer system has became very important. Every day new kind of attacks are being faced …

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 …

Misuse detection method and anomaly detection method are widely used for the detection of
malicious web pages. Both are based on machine learning. Misuse detection can detect …

As the technology trend in the recent years uses the systems with network bases, it is crucial
to detect them from threats. In this study, the following methods are applied for detecting the …

Intrusion Detection System (IDS) which are increasingly a key part of system defense are
used to identify abnormal activities in a computer system. In general, the traditional IDS …

The increased popularity of IoT devices have made them lucrative targets for attackers. Due
to insecure product development practices, these devices are often vulnerable even to very …