Sensitivity Analysis of an Attack-Pattern Discovery Based Trusted Routing Scheme for Mobile Ad-Hoc Networks in Industrial IoT

Abstract

Mobile ad-hoc networks (MANETs) are pervasive autonomous networks that will play a vital role in future Industrial Internet-of-Things communication, where smart devices will be connected in a completely distributed manner. However, due to lack of infrastructure and absence of centralized administration, MANETs are shrouded with various security threats. Some internal mobile nodes in these resource constrained networks may compromise the routing mechanism in order to launch denial-of-service attacks to carry out distinct kinds of packet forwarding misbehaviors. In order to address this issue, in our previous paper, we devised a trusted routing scheme with pattern discovery (TRS-PD), which identifies packet dropping adversaries in advance by monitoring and analyzing their behavior during route discovery phase. In this paper, we perform sensitivity analysis of TRS-PD which is carried out by varying values of different parameters in distinct network scenarios in the existence of three distinct packet dropping attacks. In addition, this work summarizes the attack-pattern discovery mechanism, trust model, and routing mechanism adopted by TRS-PD in order to counter the adversaries which follow certain attack patterns along with other adversaries. Experiments conducted with network simulator-2 indicate the correct choices of parameter values for distinct network scenarios.

Keywords

• Attack-pattern discovery
• industrial Internet-of-Things
• mobile ad-hoc networks
• packet forwarding misbehavior
• sensitivity analysis
• trusted routing