Ranwa Al Mallah

According to our database, Ranwa Al Mallah authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Finding the Optimal Security Policies for Autonomous Cyber Operations With Competitive Reinforcement Learning.

Garrett Mcdonald, Li Li, Ranwa Al Mallah

IEEE Access, 2024

Defense via Behavior Attestation against Attacks in Connected and Automated Vehicles based Federated Learning Systems.

Godwin Badu-Marfo, Ranwa Al Mallah, Bilal Farooq

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

2023

Resilience-by-design in Adaptive Multi-agent Traffic Control Systems.

Ranwa Al Mallah, Talal Halabi, Bilal Farooq

ACM Trans. Priv. Secur., August, 2023

Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning.

Jacob Wiebe, Ranwa Al Mallah, Li Li

CoRR, 2023

Untargeted Poisoning Attack Detection in Federated Learning via Behavior AttestationAl.

Ranwa Al Mallah, David López, Godwin Badu-Marfo, Bilal Farooq

IEEE Access, 2023

Blockchain-enabled Efficient and Secure Federated Learning in IoT and Edge Computing Networks.

Ranwa Al Mallah, David López, Talal Halabi

Proceedings of the International Conference on Computing, Networking and Communications, 2023

Security of SDN in an Adversarial Setting: The DDoS Case.

Ranwa Al Mallah, Brian Lachine, Godwin Badu-Marfo

Proceedings of the IEEE Global Conference on Artificial Intelligence and Internet of Things, 2023

2022

Prediction of Traffic Flow via Connected Vehicles.

Ranwa Al Mallah, Alejandro Quintero, Bilal Farooq

IEEE Trans. Mob. Comput., 2022

Blockchain-based Monitoring for Poison Attack Detection in Decentralized Federated Learning.

Ranwa Al Mallah, David López

CoRR, 2022

Artificial Intelligence f or Cybersecurity in IoT-enabled Avionics: Challenges and Solutions.

Ranwa Al Mallah, Talal Halabi, Mohammad Al Ja'afreh, Ali Karime

Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference.

Daniel Opoku Mensah, Godwin Badu-Marfo, Ranwa Al Mallah, Bilal Farooq

Proceedings of the IEEE International Smart Cities Conference, 2022

2021

Protecting the Internet of Vehicles Against Advanced Persistent Threats: A Bayesian Stackelberg Game.

Talal Halabi, Omar Abdel Wahab, Ranwa Al Mallah, Mohammad Zulkernine

IEEE Trans. Reliab., 2021

Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation.

Ranwa Al Mallah, David López, Bilal Farooq

CoRR, 2021

On the Initial Behavior Monitoring Issues in Federated Learning.

Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq

IEEE Access, 2021

Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems.

Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

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

A Minimax Game for Resilient-by-design Adaptive Traffic Control Systems.

Ranwa Al Mallah, Talal Halabi, Bilal Farooq

CoRR, 2020

Actor-based risk analysis for blockchains in smart mobility.

Ranwa Al Mallah, Bilal Farooq

Proceedings of the CryBlock@MOBICOM 2020: Proceedings of the 3rd Workshop on Cryptocurrencies and Blockchains for Distributed Systems, 2020

Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input.

Christopher Neal, Ranwa Al Mallah, José M. Fernandez, Andrea Lodi

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2017

Distributed Classification of Urban Congestion Using VANET.

Ranwa Al Mallah, Alejandro Quintero, Bilal Farooq

IEEE Trans. Intell. Transp. Syst., 2017