Epidemic Modeling For Correlated Node Behavior In Ad Hoc Networks

In ad hoc networsk, nodes operating under dynamic topology are often correlated in their behavior. Correlated behavior may poses devastating impact towards network survivability. It can be investigated by observing node activities such as forwarding and malicious activity. To assess systematic network survivability in providing efficient communication in the events of correlated behaviors, it requires a stochastic abstraction of node behavior to capture correlated event. We proposed in this paper, a novel Semi Markov with epidemic model for modeling correlated node behavior in mobile ad hoc networks. The model consists of two stages. First stage characterizes node behavior and its transition based on Semi Markov process while at second stage correlated degree is proposed using epidemic model to generated correlated behavior event sequence. The model is able to predict correlated degree of nodes from the current status of neighboring nodes. This criteria is important in understanding the spread of node particularly for misbehave node and in developing counter measures for survival network.