A Machine Learning Model for Classifying Unsolicited IoT Devices by Observing Network Telescopes. - Farooq Shaikh; Elias Bou-Harb; Jorge Crichigno; Nasir Ghani (IWCMC, 2018)

Internet of Malicious Things: Correlating Active and Passive Measurements for Inferring and Characterizing Internet-Scale Unsolicited IoT Devices. - Farooq Shaikh; Elias Bou-Harb; Nataliia Neshenko; Andrea P. Wright; Nasir Ghani (IEEE Commun. Mag., 2018)

A Review of Recent Advances and Security Challenges in Emerging E-Enabled Aircraft Systems. - Farooq Shaikh; Mohamed Rahouti; Nasir Ghani; Kaiqi Xiong; Elias Bou-Harb; Jamal Haque (IEEE Access, 2019)

SYNGuard: Dynamic threshold-based SYN flood attack detection and mitigation in software-defined networks. - Mohamed Rahouti; Kaiqi Xiong; Nasir Ghani; Farooq Shaikh (IET Networks, 2021)

IoT Threat Detection Testbed Using Generative Adversarial Networks. - Farooq Shaikh; Elias Bou-Harb; Aldin Vehabovic; Jorge Crichigno; Aysegül Yayimli; Nasir Ghani (BlackSeaCom, 2022)

Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution. - Aldin Vehabovic; Hadi Zanddizari; Nasir Ghani; Farooq Shaikh; Elias Bou-Harb; Morteza Safaei Pour; Jorge Crichigno (NOMS, 2023)

Federated Learning Approach for Distributed Ransomware Analysis. - Aldin Vehabovic; Hadi Zanddizari; Farooq Shaikh; Nasir Ghani; Morteza Safaei Pour; Elias Bou-Harb; Jorge Crichigno (CoRR, 2023)