RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-Day Attacks in IoT

Moving Target Defense (MTD) is a promising approach to mitigate attacks by dynamically altering target attack surfaces. Still, selecting suitable MTD techniques for zero-day attacks is an open challenge. Reinforcement Learning (RL) could be an effective approach to optimize the MTD selection through...

Ausführliche Beschreibung