Anomaly detection has been used for decades to identify and extract anomalous
components from data. Many techniques have been used to detect anomalies. One of the …

In recent years, the advancements in wireless technologies and sensor networks have
promoted the Mobile Internet of Things (MIoT) paradigm. However, the unique …

A network anomaly detection method based on one-class SVM and active learning was
presented. Firstly, the original instances were used to trained an one-class SVM model in …

Mobile ad-hoc networks have to suffer with different types of packet dropping attacks.
Therefore, we need strong mechanism to detect these malevolent nodes and to classify …

Mobile ad-hoc network is suffering with various attacks due to the infrastructure-less
network. Hence, MANET needs very specific security methods to detect false entrance of the …

A network anomaly detection method based on one-class SVM and active learning was
presented. Firstly, the original instances were used to trained an one-class SVM model in …

Mobile wireless sensor network (MWSN) consists of numerous wireless sensor nodes that
can energetically build a network to transmit the details lacking the preset infrastructure. The …

Mobile Ad-Hoc Networks–MANETs are prevalent in healthcare monitoring of high blood
pressure, high cholesterol levels and various heart conditions and cardiac misnomers like …

MANET can suffer with packet loss, attacks, traffic, and congestion so the performance may
degrade. To avoid this IDS technique is used. This survey discuss about the several SVM …

Due to the self-configuring nature of a Mobile Ad Hoc Network (MANET), each node must
participate in the routing process, in addition to its other activities. Therefore, routing in a …