Foundation Projects
Adversarial Machine Learning Attacks in Wireless Networks
Griffith University
This project investigates adversarial machine learning attacks in wireless networks where malicious attackers use machine learning to learn the characteristics of wireless channels to tamper with network communications.
This small grant will implement a Software-Defined Radio (SDR)-based adversarial machine learning attacks in wireless networks and evaluate the impact of these attacks. A good understanding of these adversarial attacks will enable the design of effective countermeasures against them.
