Optimization of Artificial Immunity Algorithm and Adamic Adar-based Wireless Sensor Network

Abstract

Abstract: With the development of different types of dynamic networks from simple devices, people started to use them for various purposes. These vulnerable networks are vulnerable to attacks and malicious activity. This work develops a model capable of generating a route from a source to a destination in a dynamic node environment without any prior information. Pathway generation will use artificial immune genetic algorithms. This is because these algorithms can find good routes in a short amount of time. These nodes must be identified to detect malicious activity. Therefore, the identification of the attacking node is done using a trust model where the Adamic Adar confidence function finds the node's mutual trust value based on its previous performance