Digital Twins with Stackelberg Game for Mobile Ad-hoc Networks’ Security

Hadjer Messabih, Youssra Cheriguene, Farhan Ahmad, Abdessalam Mohammed Hadjkouider, Chaker Abdelaziz Kerrache

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A Mobile Ad-Hoc Network (MANET) is a decentralized, self-configuring wireless network established by mobile nodes, which collaborate to route data through multi-hop communication. Due to their dynamic topology and lack of centralized control, MANETs are particularly susceptible to a wide range of security threats including flooding attacks, black hole attacks, wormhole attacks, and selfish attacks.
The adversarial nodes often exhibit benign behavior to gain the network's trust, thereby making detecting and mitigating such threats a significant challenge.

In this paper, we propose a novel mechanism named Digital Twin-Based Stackelberg Game for AODV (DTSGAODV), which aims to detect and circumvent malicious nodes without modifying existing network routing protocols. Our approach integrates digital twin technology with the Stackelberg game and operates across two principal layers: the physical layer and the digital layer. The digital layer leverages information from the physical layer and applies the Stackelberg game to select optimal reference nodes, enabling the construction of a secure route between the source and destination. The physical layer gathers real-time network information and ensures data transmission along the secure route determined by the digital layer, adhering to the AODV protocol.

Finally, we compare the performance of AODV and DTSGAODV when both are under a selfish attack to measure the improvement achieved by our suggested scheme. Through experiments, our solution is shown to be efficient by achieving a minimal value of attack success rate and the highest value of packet delivery ratio compared to AODV protocol.
Original languageEnglish
Title of host publication7th International Conference on Pattern Analysis and Intelligent Systems (PAIS)
PublisherIEEE
Number of pages6
Publication statusAccepted/In press - 22 Mar 2025
Event7th International Conference on Pattern Analysis and Intelligent Systems - University of Laghouat, Laghouat, Algeria
Duration: 23 Apr 202524 Apr 2025
Conference number: 7
https://pais.lagh-univ.dz/

Conference

Conference7th International Conference on Pattern Analysis and Intelligent Systems
Abbreviated titlePAIS'25
Country/TerritoryAlgeria
CityLaghouat
Period23/04/2524/04/25
Internet address

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