Titre :	Study of interactions between AI systems and game theory in the cybersecurity of MANETs
Titre original :	Étude des interactions entre systèmes IA et la théorie des jeux dans la cybersécurité des MANETs
Type de document :	document multimédia
Auteurs :	Hadjer Messabih, Auteur ; Chaker Abdelaziz Kerrache, Directeur de thèse
Editeur :	Laghouat : Université Amar Telidji - Département d'informatique
Année de publication :	2025
Importance :	104 p.
Accompagnement :	1 disque optique numérique (CD-ROM)
Langues :	Anglais
Mots-clés :	Cybersecurity  Game theory  Digital twin  Machine Learning  MANETs  Cyber-sécurité  Théorie de jeux  Jumeau numérique
Résumé :	In our increasingly connected and mobile world, designing and preventing cyber attacks can require increasingly large human, financial and technological resources. Cybersecurity has become a race to exploit and stop the inevitable security breaches that come with the complexity of current and future systems and services. This the- sis explores innovative approaches to improve security in Mobile Ad-hoc networks (MANETs). First, a comprehensive review of game theory technologies in the con- text of MANET security is presented. This review, proposes a taxonomy for recent works, highlighting the limits of the existing works, and outlining some potential future directions for cybersecurity in Ad-hoc networks. Next, a comprehensive liter- ature survey regarding the utilization of ML for enhancing security in the Mobile In- ternet of Things (MIoT) is presented. This literature survey analyzes the diverse ar- ray of ML-based approaches employed to safeguard MIoT ecosystems and provides a holistic understanding of the current landscape, elucidating the strengths and lim- itations of prevailing methodologies. Finally, a novel mechanism named Digital Twin-Based Stackelberg Game for AODV (DTSGAODV) is proposed for MANET security, which aims to detect and circumvent malicious nodes without modifying existing network routing protocols. Extensive simulations confirm their efficacy in establishing an efficient security backbone with a minimal value of attack success rate and the highest value of packet delivery ratio. The thesis concludes by outlining open challenges and initiating discussions on future research directions in MANET security, fostering continued advancements and innovation.
note de thèses :	Thèse de doctorat en informatique

Study of interactions between AI systems and game theory in the cybersecurity of MANETs = Étude des interactions entre systèmes IA et la théorie des jeux dans la cybersécurité des MANETs [document multimédia] / Hadjer Messabih, Auteur ; Chaker Abdelaziz Kerrache, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2025 . - 104 p. + 1 disque optique numérique (CD-ROM).
Langues : Anglais

Mots-clés :	Cybersecurity  Game theory  Digital twin  Machine Learning  MANETs  Cyber-sécurité  Théorie de jeux  Jumeau numérique
Résumé :	In our increasingly connected and mobile world, designing and preventing cyber attacks can require increasingly large human, financial and technological resources. Cybersecurity has become a race to exploit and stop the inevitable security breaches that come with the complexity of current and future systems and services. This the- sis explores innovative approaches to improve security in Mobile Ad-hoc networks (MANETs). First, a comprehensive review of game theory technologies in the con- text of MANET security is presented. This review, proposes a taxonomy for recent works, highlighting the limits of the existing works, and outlining some potential future directions for cybersecurity in Ad-hoc networks. Next, a comprehensive liter- ature survey regarding the utilization of ML for enhancing security in the Mobile In- ternet of Things (MIoT) is presented. This literature survey analyzes the diverse ar- ray of ML-based approaches employed to safeguard MIoT ecosystems and provides a holistic understanding of the current landscape, elucidating the strengths and lim- itations of prevailing methodologies. Finally, a novel mechanism named Digital Twin-Based Stackelberg Game for AODV (DTSGAODV) is proposed for MANET security, which aims to detect and circumvent malicious nodes without modifying existing network routing protocols. Extensive simulations confirm their efficacy in establishing an efficient security backbone with a minimal value of attack success rate and the highest value of packet delivery ratio. The thesis concludes by outlining open challenges and initiating discussions on future research directions in MANET security, fostering continued advancements and innovation.
note de thèses :	Thèse de doctorat en informatique