Performance evaluation of deception system for deceiving cyber adversaries in adaptive virtualized wireless networks

Abstract

Malicious actions by cyber-adversaries are growing exponentially which makes it difficult to combat cyber-attacks for emerging networked cyber physical systems (CPS) and Internet of Things (IoT). Furthermore, wireless networks - major communication media for most emerging CPS and IoT applications - are highly vulnerable to cyber attacks because of their nature of open communications. In this paper, we evaluate the performance of the cyber deception system to combat cyber adversaries in virtualized wireless networking framework where software defined network (SDN) controller creates mobile virtual network operators (MVNOs) and continuously senses the network, observes the connections and creates deception MVNO to direct cyber adversaries. The deception MVNO can be used to learn about cyber adversaries in terms of their capabilities, intent and how much damage they can do in the system and so on. Thus, the cyber deception can help secure legitimate users from cyber adversaries. Performance of the proposed approach is evaluated with results obtained from Monte Carlo simulations.