Secure Indoor Localization Against Adversarial Attacks Using DCGAN
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DOI: 10.1109/lcomm.2024.3503721
Abstract: The vulnerability of deep learning-based indoor Wi-Fi fingerprint localization methods to adversarial attacks significantly reduces localization performance. To overcome this challenge, we propose a defense strategy employing a deep convolutional generative adversarial network (DCGAN) to… read more here.
Keywords: indoor localization; localization adversarial; secure indoor; localization ... See more keywords