In this paper, we propose an adversarial machine learning based partial-model attack in the data fusion/aggregation process of IoT by only controlling a small ...
Jun 25, 2020 · In this paper, we propose an adversarial machine learning based partial-model attack in the data fusion/aggregation process of IoT by only controlling a small ...
The results show that the machine learning engine of IoT system is highly vulnerable to attacks even when the adversary manipulates a small portion of IoT ...
... model is defined as a ML-based model that can withstand adversarial attacks. ... Adversarial machine learning based partial-model attack in IoT. Proceedings ...
In [30] a partial-model attack approach has been proposed using adversarial machine learning by controlling sensing devices for the data fusion process.
In this paper, we intro- duced an adversarial machine learning based partial-model attack strategy, which mainly sits in the data collecting and aggregating.
Privacy Attack: The attacker's objective could involve gaining information about the system data, leading to data privacy attacks, or about the ML model, ...
... Training defense method has been studied in tackling Adversarial Machine Learning attacks ... Adversarial machine learning based partial-model attack in IoT.
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In this paper, we propose an adversarial machine learning based partial-model attack in the data fusion/aggregation process of IoT by only controlling a small ...
In this paper, we introduced an adversarial machine learning based partial-model attack strategy, which mainly sits in the data collecting and aggregating stage ...