AFZAL, SARA

AFZAL, SARA  

I.M.T. (Istituzioni, Mercati, Tecnologie) Alti Studi  

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Titolo Data di pubblicazione Autore(i) File
A quantitative and deployment-aware survey of AI-based techniques for IoT botnet detection and classification 1-gen-2026 Afzal, Sara; Gebrehiwot, Abraham; Lauria Filippo, Maria; Khan Farrukh, Aslam
Attacker-aware contrastive learning for robust malicious URL classification 1-gen-2026 Afzal, Sara; Gebrehiwot, Abraham; Khan Farrukh, Aslam; Lauria Filippo, Maria
Privacy-preserving intrusion detection system using TabTransformer and XGboost for IoMT environments 1-gen-2026 Butt, Rawish; Tariq, Noshina; Khan Farrukh, Aslam; Abdullah Tariq, Muhammad; Afzal, Sara; Chauhdary Sajjad, Hussain
RO-DAD: a resource-optimized DDoS attack detection framework using multi-stage feature selection in cloud computing 1-gen-2026 Haque Mansoor, Ul; Durad Muhammad, Hanif; Usman, Anila; Khan Farrukh, Aslam; Afzal, Sara
Two-view honeypot framework for behavioral analysis of consumer IoT attack campaigns 1-gen-2026 Afzal, Sara; Khan Farrukh, Aslam; Gebrehiwot, Abraham; Lauria Filippo, Maria
Unsupervised correlation-based classification of IoT malware for consumer devices 1-gen-2026 Afzal, Sara; Gebrehiwot, Abraham; Lauria Filippo, Maria; Khan Farrukh, Aslam