An algorithm to recognize the adversaries in self organizing networks inspired from the human immune system

Self organizing networks is a network formed by automatic configuration without any central control where by only the authorized nodes are allowed to join the network. As the system scales, it is practically impossible for each individual user to independently select an optimal service provider without conflicting with others. Hence, many research efforts of self organization framework inspired by biological systems have sprung up in the recent years in wireless telecommunication and networking. Inspired by the ecosystem some biologic models are applied in networks. These models facilitate the dynamic networking and out perform traditional methods. In this paper we will describe the working of the human immune system and defense body mechanism of the body. Though we know that our immune system may be strong to defend against any diseases but how does it recognize those pathogens and keep the body secure will be discussed in this paper. We have proposed a model and an algorithm to recognize the adversaries keep the network secured.