Avoidance of Gray Hole Attacks in Manet Using Behavioral Trust-based Detection and Prevention Framework

Sibomana Fabrice and E.J. Thomson Fredrik

Gray Hole attack is a route misbehavior attack that drops the message during its transmission from source to destination node. It operates under two different phases: at the initial phase, the sensor node proclaims itself to transmit via valid route to reach the destination node for packet transmission. At the second phase, the sensor node discards the seized data packets under specific probability. Hence, it is very necessary to guard the transmission of packets between the source and destination nodes, since the Gray Hole drops the packets at a rapid rate. Different solutions are defined to encounter the Gray Hole attack in MANETs. However, if the density of the network increases, these mechanisms fail in detecting the attacks. In this paper, we study the behavior of sensor nodes using QoS attributes, and upon reading the characteristics of QoS attributes, a trust model is designed with these attributes to authenticate the sensor nodes in the network. This avoids the self-advertising of sensor nodes and its false claim that the sensor node is genuine. This forms the detection framework and hence a prevention model is developed to stop these sensor nodes in participating in the process of routing. Experimental results show that the proposed method effectively drops the malicious sensor nodes and increases the packet delivery ratio.

Volume 11 | 04-Special Issue

Pages: 1374-1381