Adversarial Machine Learning based Partial-model Attack in IoT

no code implementations • 25 Jun 2020 • Zhengping Luo, Shangqing Zhao, Zhuo Lu, Yalin E. Sagduyu, Jie Xu

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 part of the sensing devices.

BIG-bench Machine Learning Decision Making

When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing

no code implementations • 4 May 2019 • Zhengping Luo, Shangqing Zhao, Zhuo Lu, Jie Xu, Yalin E. Sagduyu

In this paper, we revisit this security vulnerability as an adversarial machine learning problem and propose a novel learning-empowered attack framework named Learning-Evaluation-Beating (LEB) to mislead the fusion center.

BIG-bench Machine Learning