An Overview on Intrusion Detection in Manet

Analisando a figura nº 3, na qual são assinalados os principais centros secundários de comércio/serviços da Área Urbana de Évora, pode considerar-se que é

In this protocol, four concepts were combined: the collaboration between a sedentary agent and a mobile agent; the cryptography; the reference execution; the

Intrusion detection system based on the combination of experts has been offered using MLP neural networks with the aid of a mediator expert which is applied by

The proper selection of clustering algorithm is critical to improve the detection rate of such a system to detect the routing attack; especially black hole attack in an

Authors in their approach, incorporate three different techniques simultaneously to achieve their goal: (i) a cumulative frequency detection technique in order

A set of biosensors deployed or implanted in the human body constitutes a subtype of WSN named Wireless Body Area Networks (WBANs) also known as Wireless Body Sensor

The elected cluster head will perform signature detection on all the member nodes along with running anomaly detection only on the backup node.. Similarly the backup will be

The current risk engine is capable of performing deterministic scenario-based loss assessment using ground- motion fie lds and probabilistic scenario-based loss