Distributed Classification of Urban Congestion Using VANET. - Ranwa Al Mallah; Alejandro Quintero; Bilal Farooq (IEEE Trans. Intell. Transp. Syst., 2017)

Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input. - Christopher Neal; Ranwa Al Mallah; José M. Fernandez 001; Andrea Lodi 001 (CCECE, 2020)

Actor-based risk analysis for blockchains in smart mobility. - Ranwa Al Mallah; Bilal Farooq (CryBlock@MOBICOM, 2020)

A Minimax Game for Resilient-by-design Adaptive Traffic Control Systems. - Ranwa Al Mallah; Talal Halabi; Bilal Farooq (CoRR, 2020)

Cooperative Evaluation of the Cause of Urban Traffic Congestion via Connected Vehicles. - Ranwa Al Mallah; Alejandro Quintero; Bilal Farooq (IEEE Trans. Intell. Transp. Syst., 2020)

Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems. - Ranwa Al Mallah; Godwin Badu-Marfo; Bilal Farooq (IV Workshops, 2021)

On the Initial Behavior Monitoring Issues in Federated Learning. - Ranwa Al Mallah; Godwin Badu-Marfo; Bilal Farooq (IEEE Access, 2021)

Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation. - Ranwa Al Mallah; David López 003; Bilal Farooq (CoRR, 2021)

Protecting the Internet of Vehicles Against Advanced Persistent Threats: A Bayesian Stackelberg Game. - Talal Halabi; Omar Abdel Wahab 001; Ranwa Al Mallah; Mohammad Zulkernine (IEEE Trans. Reliab., 2021)

eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference. - Daniel Opoku Mensah; Godwin Badu-Marfo; Ranwa Al Mallah; Bilal Farooq (ISC2, 2022)

Artificial Intelligence f or Cybersecurity in IoT-enabled Avionics: Challenges and Solutions. - Ranwa Al Mallah; Talal Halabi; Mohammad Al Ja'afreh; Ali Karime (WF-IoT, 2022)

Blockchain-based Monitoring for Poison Attack Detection in Decentralized Federated Learning. - Ranwa Al Mallah; David López 003 (CoRR, 2022)

Prediction of Traffic Flow via Connected Vehicles. - Ranwa Al Mallah; Alejandro Quintero; Bilal Farooq (IEEE Trans. Mob. Comput., 2022)

Security of SDN in an Adversarial Setting: The DDoS Case. - Ranwa Al Mallah; Brian Lachine; Godwin Badu-Marfo (GCAIoT, 2023)

Blockchain-enabled Efficient and Secure Federated Learning in IoT and Edge Computing Networks. - Ranwa Al Mallah; David López 003; Talal Halabi (ICNC, 2023)

Cybersecurity in the Metaverse: Challenges and Approaches. - Mohammad Alja'Afreh; Ranwa Al Mallah; Ali Karime; Abdulmotaleb El-Saddik (iMETA, 2023)

Untargeted Poisoning Attack Detection in Federated Learning via Behavior AttestationAl. - Ranwa Al Mallah; David López 003; Godwin Badu-Marfo; Bilal Farooq (IEEE Access, 2023)

Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning. - Jacob Wiebe; Ranwa Al Mallah; Li Li (CoRR, 2023)

Resilience-by-design in Adaptive Multi-agent Traffic Control Systems. - Ranwa Al Mallah; Talal Halabi; Bilal Farooq (ACM Trans. Priv. Secur., 2023)

Blockchain-Driven Networking and Communications in the Metaverse. - Mohammad Alja'Afreh; Omar Hasan; Ranwa Al Mallah; Ali Karime (BCCA, 2024)

Defense via Behavior Attestation against Attacks in Connected and Automated Vehicles based Federated Learning Systems. - Godwin Badu-Marfo; Ranwa Al Mallah; Bilal Farooq (VTC Spring, 2024)

Finding the Optimal Security Policies for Autonomous Cyber Operations With Competitive Reinforcement Learning. - Garrett Mcdonald; Li Li; Ranwa Al Mallah (IEEE Access, 2024)

Adversarial Threats and Defense Mechanisms in Machine Learning-Based SQL Injection Detection: A Security Analysis. - Ranwa Al Mallah; Alejandro Quintero (ICNC, 2025)

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence. - Faizan Contractor; Li Li; Ranwa Al Mallah (CoRR, 2025)

A Comparative Evaluation of Teacher-Guided Reinforcement Learning Techniques for Autonomous Cyber Operations. - Konur Tholl; Mariam El Mezouar; Ranwa Al Mallah (CoRR, 2025)