AI-Driven Defense-in-Depth: A Systematic Review of SOC Maturity Models and DDoS Mitigation
Editor(s)
Klesti Hoxha
Document Type
Conference Proceeding
Publication Date
5-23-2025
Abstract
The growing sophistication of distributed denial-of-service (DDoS) attacks poses persistent challenges to security operations centers (SOCs). This paper presents a structured, evidence-based framework for integrating artificial intelligence (AI) into layered cyber defenses. Through systematic literature review and mapping of peer-reviewed intrusion detection techniques, we examine the applicability of ensemble learning, explainable AI (XAI), and federated learning across the defense-in-depth spectrum. We also propose an AI-maturity roadmap grounded in ENISA and NIST frameworks to guide phased SOC integration. Our findings support strategic AI deployment for improved detection accuracy, reduced triage time, and enhanced operational resilience against large-scale DDoS campaigns.
Publication
CEUR Workshop Proceedings
Publisher
CEUR-WS
Host
University of Tirana
Conference/Symposium
International Conference on Recent Trends and Applications in Computer Science and Information Technology 2025 (RTA-CSIT 2025)
City/State
Tirana, Albania
Volume
Vol-4044
Pages
10-17
Department
College of Business and Management
Peer Reviewed
1
Recommended Citation
Antoniou, G. (2025, May 22-24). AI-driven defense-in-depth: A systematic review of SOC maturity models and DDoS mitigation. In CEUR Workshop Proceedings (Vol. 4044, pp. 10–17). RTA-CSIT 2025, University of Tirana, Albania. https://ceur-ws.org/Vol-4044/paper02.pdf
Comments
Proceedings of the 6th International Conference on Recent Trends and Applications in Computer Science and Information Technology (RTA-CSIT 2025) - Tirana, Albania, May 22-24, 2025.