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Journal Articles IEEE Internet of Things Magazine Year : 2022

Evolution of IoT Security: the era of smart attacks

Abstract

Internet of things (IoT) devices have become the new privileged targets for cyberattackers these recent years. This is in part due to the amount of sensitive data they provide. In parallel, the security systems are becoming more and more robust with the help of Machine Learning (ML) algorithms. However, this advance can also benefit malicious people. In recent years, MLbased smart attacks have emerged and are significantly changing the threat landscape. This paper focuses on the point of view of the attacker. We have designed a new attack framework based on Markov chain theory. The goal of this latter is to maximize the success probability of attacks while minimizing energy consumption. We tested this framework on both passive and active jamming attacks, thus exhibiting the effectiveness of our approach when compared against basic eavesdropping and jamming attacks. We show that this new type of attack can cut by half the energy consumption of an eavesdropping attack, while maintaining an 88% attack efficiency.
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Dates and versions

hal-03610715 , version 1 (16-03-2022)

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Emilie Bout, Valeria Loscrì, Antoine Gallais. Evolution of IoT Security: the era of smart attacks. IEEE Internet of Things Magazine, In press, ⟨10.1109/iotm.001.2100183⟩. ⟨hal-03610715⟩
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