Efficient Deep-Learning-Based Decision Fusion for Adversarial Sensor Networks With Byzantine Attacks
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DOI: 10.1109/jsen.2025.3566168
Abstract: This article proposes a deep-learning (DL)-based approach to resilient decision fusion in adversarial sensor networks under Byzantine attacks. A unified probabilistic framework is first introduced to capture diverse adversarial settings, including varying ratios of malicious… read more here.
Keywords: deep learning; fusion; adversarial sensor; fusion adversarial ... See more keywords