Detection/Removal of Cooperative Black and Gray Hole Attack in Mobile Ad-Hoc Networks

Esperamos que esse trabalho abra a possibilidade de propostas pedagógicas utilizando o Wolfram|Alpha de forma parcial ou até mesmo integral, no ensino de Matemática

Wormhole attacks are organized in three different type namely closed, half open and open on the basis visibility of malicious node[10] in the route discover by routing

In case of wired networks, conventional congestion detection techniques depend heavily on packet loss due to buffer overflows to infer congestion, and to a

In an ad-hoc network that uses AODV as a routing protocol, a mobile node that wishes to communicate with other node first broadcasts an RREQ[6] (Route Request) message to find a

Thus, setting up challenging task in the presence of various factors, including but not limited to high bit error rate, contention, mobility a graphical representation of the

18 , the normalized routing load gets increases in the presence of Black Hole nodes compared to that of Gray Holes attacks. And Gray Holes attacks in AODV caused too

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

In the case of sensor networks, it is essential for each sensor node and base station to have the ability to verify that the data received was really sent by a