Exploration of Impactful Countermeasures on IoT Attacks

Risks mitigation in IoT based systems is one of the recent challenges in both academia and industry. In this work, we propose an approach based on the attack-defense tree to assess the relevant countermeasures for protecting IoT infrastructure. To this end, an attack strategy exploration tool built on the top of the statistical model checker and genetic algorithm is used to select high impactful countermeasures. From that result, defense strategies are highlighted while a compromise guarantee between successful attacks, the cost incurred and the time to perform a sequence of attack actions. We report experiments applied over IoT network attacks.