Islam Obaidat, Ph.D.: newshttps://iobaidat.github.io/2026-10-13T00:00:00ZIslam Obaidat, Ph.D.Fall 2027 Ph.D. call: interest form due November 15, 2026https://iobaidat.github.io/news.html#2026-10-phd-call-deadline2026-10-13T00:00:00Z2026-10-13T00:00:00ZThe 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 fallhttps://iobaidat.github.io/news.html#2026-08-fall-teaching2026-08-01T00:00:00Z2026-08-01T00:00:00ZIntroduction to Computer Programming (CST 140) and Applied Java Programming (CST 240) at NC A&T.Two contributions at DSN 2026 in Charlottehttps://iobaidat.github.io/news.html#2026-06-dsn-charlotte2026-06-22T00:00:00Z2026-06-22T00:00:00ZSeeing 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 mentorhttps://iobaidat.github.io/news.html#2026-06-creo-mentor2026-06-01T00:00:00Z2026-06-01T00:00:00ZMentoring undergraduate interns through the Center for Excellence in Cybersecurity Research, Education, and Outreach (CREO) this summer.Side-channel traffic detection at DCAS 2026https://iobaidat.github.io/news.html#2026-04-dcas2026-04-10T00:00:00Z2026-04-10T00:00:00ZReal-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 springhttps://iobaidat.github.io/news.html#2026-01-spring-teaching2026-01-01T00:00:00Z2026-01-01T00:00:00ZIntroduction to Computer Programming (CST 140) and its lab (CST 150) at NC A&T.One Model to Catch Them All at GLOBECOM 2025https://iobaidat.github.io/news.html#2025-12-globecom2025-12-08T00:00:00Z2025-12-08T00:00:00ZAutoencoder-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 2025https://iobaidat.github.io/news.html#2025-11-cans2025-11-13T00:00:00Z2025-11-13T00:00:00ZFew-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 detectionhttps://iobaidat.github.io/news.html#2025-10-wimob-icait2025-10-20T00:00:00Z2025-10-20T00:00:00ZLightweight 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 Datahttps://iobaidat.github.io/news.html#2025-08-jbd2025-08-08T00:00:00Z2025-08-08T00:00:00ZA multimodal ensemble approach for fake news detection in textual and visual media, with Rami Mohawesh and colleagues.ARROWS undergraduate research mentorhttps://iobaidat.github.io/news.html#2025-06-arrows2025-06-01T00:00:00Z2025-06-01T00:00:00ZMentoring 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 2025https://iobaidat.github.io/news.html#2025-05-icsc2025-05-19T00:00:00Z2025-05-19T00:00:00ZA Device-Centric and Temporal Learning Framework for Malicious IoT Traffic Detection is presented at the 5th Intelligent Cybersecurity Conference in Tampa.Teaching stack smashing at FIE 2024https://iobaidat.github.io/news.html#2024-10-fie2024-10-13T00:00:00Z2024-10-13T00:00:00ZGuided Learning and Interactive Visualization for Teaching & Learning Stack Smashing Attacks & Defenses reports experiences and evaluation from the classroom at the IEEE Frontiers in Education Conference in Washington, DC.Joined North Carolina A&T State Universityhttps://iobaidat.github.io/news.html#2024-08-ncat2024-08-01T00:00:00Z2024-08-01T00:00:00ZAssistant Professor in the Department of Computer Systems Technology, College of Science and Technology, Greensboro, NC.DDoShield-IoT at the DSN 2024 workshopshttps://iobaidat.github.io/news.html#2024-06-ddoshield2024-06-24T00:00:00Z2024-06-24T00:00:00ZA testbed for simulating and lightweight detection of IoT botnet DDoS attacks, with Simona De Vivo, Dong Dai, and Pietro Liguori, presented in Brisbane.DAEDALUS preprint on arXivhttps://iobaidat.github.io/news.html#2024-01-daedalus2024-01-29T00:00:00Z2024-01-29T00:00:00ZDAEDALUS: Defense Against Firmware ROP Exploits Using Stochastic Software Diversity, with Meera Sridhar and Fatemeh Tavakoli, is available as arXiv:2401.16234.DDoSimQ at CPSIoTSec 2023https://iobaidat.github.io/news.html#2023-11-cpsiotsec2023-11-26T00:00:00Z2023-11-26T00:00:00ZFrom DDoSim to DDoSimQ: Enhancing DDoS Attack Simulations Through Full System Emulation, at the 5th Workshop on CPS & IoT Security and Privacy in Copenhagen.DDoSim botnet paper at DSN 2023https://iobaidat.github.io/news.html#2023-06-dsn-porto2023-06-27T00:00:00Z2023-06-27T00:00:00ZCreating a Large-Scale Memory Error IoT Botnet Using NS3DockerEmulator, the paper that introduces the DDoSim testbed, with Bennett Kahn, Fatemeh Tavakoli, and Meera Sridhar, is presented at the 53rd IEEE/IFIP DSN in Porto.NSF REU mentorhttps://iobaidat.github.io/news.html#2023-06-reu2023-06-01T00:00:00Z2023-06-01T00:00:00ZMentoring undergraduates through the NSF Research Experiences for Undergraduates program this summer.