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Conference Papers Year : 2022

FOLPETTI: A Novel Multi-Armed Bandit Smart Attack for Wireless Networks

Abstract

Channel hopping provides a defense mechanism against jamming attacks in large scale Internet of Things (IoT) networks. However, a sufficiently powerful attacker may be able to learn the channel hopping pattern and efficiently predict the channel to jam. In this paper, we present FOLPETTI, a Multi-Armed Bandit (MAB)-based attack to dynamically follow the victim's channel selection in real-time. Compared to previous attacks implemented via Deep Reinforcement Learning (DRL), FOLPETTI does not require recurrent training phases to capture the victim's behavior, allowing hence a continuous attack. We assess the validity of FOLPETTI by implementing it to launch a jamming attack. We evaluate its performance against a victim performing random channel selection and a victim implementing a MAB defence strategy. We assume that the victim detects an attack when more than 20% of the transmitted packets are not received, therefore this represents the limit for the attack to be stealthy. In this scenario, FOLPETTI achieves a 15% success rate for the victim's random channel selection strategy, close to the 17.5% obtained with a genie-aided approach.Conversely, the DRL-based approach reaches a success rate of 12.5%, which is 5.5% less than FOLPETTI. We also confirm the results by confronting FOLPETTI with a MAB based channel hopping method. Finally, we show that FOLPETTI creates an additional energy demand independently from its success rate, therefore decreasing the lifetime of IoT devices. CCS CONCEPTS • Security and privacy → Mobile and wireless security; • Networks → Denial-of-service attacks.
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Dates and versions

hal-03696288 , version 1 (15-06-2022)

Identifiers

  • HAL Id : hal-03696288 , version 1

Cite

Emilie Bout, Alessandro Brighente, Mauro Conti, Valeria Loscrì. FOLPETTI: A Novel Multi-Armed Bandit Smart Attack for Wireless Networks. ARES 2022 - 17th International Conference on Availability, Reliability and Security, Aug 2022, Vienna, Austria. ⟨hal-03696288⟩

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