AI-Based Cybersecurity System for 5G Enabled Mini Computers Running Pardus OS

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dc.contributor.authorAlsharif, Fawzy
dc.contributor.authorBasaran, Emir Can
dc.contributor.authorAgca, Ahmet Emir
dc.contributor.authorTopcuoglu, Emirhan
dc.date.accessioned2026-01-31T15:04:31Z
dc.date.available2026-01-31T15:04:31Z
dc.date.issued2025
dc.departmentİstanbul Beykent Üniversitesi
dc.description12th International Conference on Future Internet of Things and Cloud, FiCloud 2025 -- 2025-08-11 through 2025-08-13 -- Istanbul -- 214221
dc.description.abstractThis paper presents an AI-driven cybersecurity system tailored for 5G-enabled mini computers running the Pardus operating system. The system integrates real-time network monitoring using Suricata with dynamic threat intelligence from the Open Threat Exchange (OTX), allowing for the automated blocking of globally recognized threats. Detection is performed through a two-stage Random Forest model trained on the 5G-NIDD dataset, where 24 features were mapped from Suricata's traffic output. The binary classification model achieved 99.78% accuracy in distinguishing benign from malicious traffic, while the multiclass model identified specific attack types-such as HTTPFlood, SYNScan, and UDPFlood-with 97.48% accuracy. Designed with the computational constraints of edge environments in mind, the system incorporates lightweight, high-precision AI models and rule-based response mechanisms capable of executing threat-specific countermeasures in real time. Evaluation on a 5G-enabled mini computer demonstrates that the proposed approach delivers reliable detection performance with low latency and minimal resource usage, making it a practical solution for industrial IoT, smart infrastructure, and mobile edge deployments where autonomous and adaptive cyber defense is critical. © 2025 IEEE.
dc.identifier.doi10.1109/FiCloud66139.2025.00072
dc.identifier.endpage484
dc.identifier.isbn9798331554378
dc.identifier.scopus2-s2.0-105021992179
dc.identifier.scopusqualityN/A
dc.identifier.startpage477
dc.identifier.urihttps://doi.org/10.1109/FiCloud66139.2025.00072
dc.identifier.urihttps://hdl.handle.net/20.500.12662/10573
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260128
dc.subject5G technology
dc.subjectAIbased cybersecurity
dc.subjectautonomous defense mechanism
dc.subjectmini computers
dc.subjectPardus OS
dc.subjectthreat detection and classification
dc.titleAI-Based Cybersecurity System for 5G Enabled Mini Computers Running Pardus OS
dc.typeConference Object

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