News from 2025
6 items.
2025
One Model to Catch Them All at GLOBECOM 2025
Autoencoder-based anomaly detection for next-generation networks, with Furqan Rustam and Anca Delia Jurcut, is presented at the IEEE Global Communications Conference in Taipei.
Few-shot retrieval-augmented LLMs at CANS 2025
Few-Shot Retrieval-Augmented LLMs for Anomaly Detection in Network Traffic appears in the proceedings of the 24th International Conference on Cryptology and Network Security.
Two papers on lightweight LLMs for intrusion detection
Lightweight Fine-Tuning of LLMs for Explainable Intrusion Detection in SDN is presented at WiMob 2025 in Marrakesh, and Minimalist LLMs for Network Attack Detection via Quantization and Low-Rank Adaptation at ICAIT 2025 in Liaocheng.
Truth Be Told published in Journal of Big Data
A multimodal ensemble approach for fake news detection in textual and visual media, with Rami Mohawesh and colleagues.
ARROWS undergraduate research mentor
Mentoring an undergraduate research project through the ARROWS program this summer, alongside teaching CST 240, CST 231, and CST 390.
Device-centric IoT traffic detection at ICSC 2025
A Device-Centric and Temporal Learning Framework for Malicious IoT Traffic Detection is presented at the 5th Intelligent Cybersecurity Conference in Tampa.