A solo attack may cause a big loss in computer and network systems, its prevention is,
therefore, very inevitable. Precise detection is very important to prevent such losses. Such …

In the studies of intrusion detection/prevention systems (IDS/IPS) and network security
situational awareness, malicious traffic detection has been given significantly more attention …

The prevention of any type of cyber attack is indispensable because a single attack may
break the security of computer and network systems. The hindrance of such attacks is …

Wireless Sensor Networks (WSNs) have been applied in agriculture monitoring to monitor
and collect various physical attributes within a specific area. It is important to detect data …

Cloud computing has grown largely over the past three years and is widely popular amongst
today's IT landscape. In a comparative study between 250 IT decision makers of UK …

Even though multilayer perceptrons and radial basis function networks belong to the class of
artificial neural networks and they are used for similar tasks, they have very different …

The increasing amount of malware and cyberattacks on a host level increases the need for a
reliable anomaly‐based host IDS (HIDS) that would be able to deal with zero‐day attacks …

In this paper a topology of neural network intrusion detection system is proposed on which
different backpropagation algorithms are benchmarked. The proposed methodology uses …

Artificial neural networks based ensembles are used for solving the computer security
problems. Ensemble members and the ensembling method are generated automatically …

In order to determine Remote to Local (R2L) attack, an intrusion detection technique based
on artificial neural network is presented. This technique uses sampled dataset from …