Mitigation of Colluding Selective Forwarding Attack in WMNs using FADE

Wireless Mesh Networks (WMNs) have emerged as a promising technology because of their wide range of applications. Wireless mesh networks wireless mesh networks (WMNs) are dynamically self – organizing, self – configuring, self – healing with nodes in the network automatically establishing an adHoc network and maintaining mesh connectivity. Because of their fast connectivity wireless mesh networks (WMNs) is widely used in military applications. Security is the major constrain in wireless mesh networks (WMNs). This paper considers a special type of DoS attack called selective forwarding attack or greyhole attack. With such an attack, a misbehaving mesh router just forwards few packets it receives but drops sensitive data packets. To mitigate the effect of such attack an approach called FADE : Forward Assessment based Detection is adopted. FADE scheme detects the presence of attack inside the network by means of two-hop acknowledgment based monitoring and forward assessment based detection. FADE operates in three phases and analyzed by determining optimal threshold values. This approach is found to provide effective defense against the collaborative internal attackers in WMNs.