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19 items since 2023. The Atom feed carries the same entries.
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Fall 2027 Ph.D. call: interest form due November 15, 2026
The preliminary interest form for the funded Fall 2027 Ph.D. opening in embedded systems and drone cybersecurity is due November 15, 2026, at 11:59 p.m. U.S. Eastern Time. Submit it once; materials sent by email are not reviewed.
Teaching CST 140 and CST 240 this fall
Introduction to Computer Programming (CST 140) and Applied Java Programming (CST 240) at NC A&T.
Two contributions at DSN 2026 in Charlotte
Seeing in Shades of Gray, on real-time federated image-based malicious traffic detection, appears in the DSN workshops volume (DSN-W), and the poster On the Feasibility of Side-Channel Information for Malicious Traffic Detection in IoT Networks, with Shadman Sakib Arnob and Ahmad Patooghy, appears in the supplemental volume (DSN-S).
CREO internship mentor
Mentoring undergraduate interns through the Center for Excellence in Cybersecurity Research, Education, and Outreach (CREO) this summer.
Side-channel traffic detection at DCAS 2026
Real-Time Malicious Traffic Detection in IoT Networks Using Side-Channel Information, with Shadman Sakib Arnob and Ahmad Patooghy, is presented at the 19th IEEE Dallas Circuits and Systems Conference.
Teaching CST 140 and CST 150 this spring
Introduction to Computer Programming (CST 140) and its lab (CST 150) at NC A&T.
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.