. We discuss the influence of node misbehavior on the routing process. In particular, we derive a classification for misbehaving nodes and extend an analytical model of the route acquisition process executed by the Ad hoc On-demand Distance Vector (AODV) routing protocol to cover different classes

models packet forwarding, passive misbehavior, active misbehavior and avoidance of malicious nodes in the route. The model also takes into account the blocking caused by the hidden node problem in wireless networks. The results achieved are both graphical as well as in the form of a network animation

Ad hoc networks employ a decentralized unstructured networking model that relies on node cooperation for key network functionalities such as routing and medium access. In this paper, we develop a model based on the Sequential Probability Ratio Test to characterize how nodes can differentiate

misbehaviors and failures. First, we propose a novel semi-Markov process model to characterize the evolution of node behaviors. As an immediate application of the proposed model, we investigate the problem of node isolation where the effects of Denial-of-Service (DoS) attacks are considered. Then we present

the investigation is carried out with respect to two types of node misbehavior. The parameters taken into consideration for evaluation of network performance are normalized throughput, routing overhead, normalized routing load and average packet delay, when a certain percentage of nodes misbehave. It could

reducing the delay and overhead. This approach is keenly focusing on acknowledgement of nodes regarding the misbehaviors so that the source takes the corresponding action. Simulation results show that the timer based acknowledgement scheme attains good packet delivery ratio with reduced packet drop, delay

Abstract — The network resilience has been studied as a fault tolerance measure in wired networks for decades; however, little effort has been made to analyze the resilience of wireless multihop networks, especially in the presence of misbehaving nodes. In this work, we study such a problem

This paper describes two techniques that improve through-put in an ad hoc network in the presence of nodes that agree to forward packets but fail to do so. To mitigate this prob-lem, we propose categorizing nodes based upon their dynam-ically measured behavior. We use a watchdog that identifies

help routing protocols to be resilient to node misbehavior.

to commercial wireless devices, combined with the poor phys-ical and software security of the devices, can lead to node misconfiguration or misbehavior. A misbehaving node may refuse to forward packets in order to conserve its energy (selfishness), or simply degrade network performance (mali