Agentic AI in the dark : AI-driven offense and defense against attacks originating from local TOR networks / Roumaissa Imane Nakhlati

Public ISBD Titre : Agentic AI in the dark : AI-driven offense and defense against attacks originating from local TOR networks Type de document : document multimédia Auteurs : Roumaissa Imane Nakhlati, Auteur ; Messaoud Babaghayou, Directeur de thèse Editeur : Laghouat : Université Amar Telidji - Département d'informatique Année de publication : 2026 Importance : 111 p. Accompagnement : 1 disque optique numérique (CD-ROM) Note générale : Option : Networks, systems and distributed applications Langues : Anglais (eng) Mots-clés : Cybersecurity  Autonomous agents  Docker  TOR anonymization  Intrusion detection  Network security  Data sovereignty  AI-driven agents Résumé : DockSec AI is a fully local, autonomous cybersecurity framework for offensive and defensive assessments within a controlled TOR-anonymized laboratory environment. The system deploys two specialized AI agents—a Red Agent (offensive) and a Blue Agent (defensive)—that share a locally hosted language model to execute adaptive attack strategies and perform AI-driven threat detection. The Red Agent autonomously performs reconnaissance, exploit selection, credential harvesting, and post-exploitation through a private Docker-based TOR network, ensuring complete traffic anonymization. The Blue Agent monitors network traffic, classifies alerts using AI reasoning, applies TOR-aware risk scoring, and maintains persistent memory through vector-based storage. Experimental results demonstrate the framework’s effectiveness : the Red Agent successfully executes adaptive attacks with credential auto-trigger and replanning, while the Blue Agent achieves significant detection rate improvements over rule-based expert baselines while reducing false positives. All operations run locally on standard hardware using a small quantized model, proving that effective AI-driven security is accessible without cloud dependency or specialized infrastructure. DockSec AI ensures data sovereignty, privacy protection, and compliance through on-site Docker containerization, enabling rapid deployment, portability, and cost-efficient scalability for security research and autonomous assessments. note de thèses : Mémoire de master en informatique Agentic AI in the dark : AI-driven offense and defense against attacks originating from local TOR networks [document multimédia] / Roumaissa Imane Nakhlati, Auteur ; Messaoud Babaghayou, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2026 . - 111 p. + 1 disque optique numérique (CD-ROM). Option : Networks, systems and distributed applications Langues : Anglais (eng) Mots-clés : Cybersecurity  Autonomous agents  Docker  TOR anonymization  Intrusion detection  Network security  Data sovereignty  AI-driven agents Résumé : DockSec AI is a fully local, autonomous cybersecurity framework for offensive and defensive assessments within a controlled TOR-anonymized laboratory environment. The system deploys two specialized AI agents—a Red Agent (offensive) and a Blue Agent (defensive)—that share a locally hosted language model to execute adaptive attack strategies and perform AI-driven threat detection. The Red Agent autonomously performs reconnaissance, exploit selection, credential harvesting, and post-exploitation through a private Docker-based TOR network, ensuring complete traffic anonymization. The Blue Agent monitors network traffic, classifies alerts using AI reasoning, applies TOR-aware risk scoring, and maintains persistent memory through vector-based storage. Experimental results demonstrate the framework’s effectiveness : the Red Agent successfully executes adaptive attacks with credential auto-trigger and replanning, while the Blue Agent achieves significant detection rate improvements over rule-based expert baselines while reducing false positives. All operations run locally on standard hardware using a small quantized model, proving that effective AI-driven security is accessible without cloud dependency or specialized infrastructure. DockSec AI ensures data sovereignty, privacy protection, and compliance through on-site Docker containerization, enabling rapid deployment, portability, and cost-efficient scalability for security research and autonomous assessments. note de thèses : Mémoire de master en informatique

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