Privacy-Preserving and Syscall-Based Intrusion Detection System for IoT Spectrum Sensors Affected by Data Falsification Attacks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3213889
Abstract: Crowdsensing platforms collect, process, transmit, and analyze spectrum data worldwide to optimize radio frequency spectrum usage. However, Internet of Things (IoT) spectrum sensors, performing some of the previous tasks, are exposed to software manipulation aiming… read more here.
Keywords: intrusion detection; data falsification; spectrum sensors; spectrum ... See more keywords
Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors
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DOI: 10.1109/tccn.2018.2835460
Abstract: This paper looks into the modulation classification problem for a distributed wireless spectrum sensing network. First, a new data-driven model for automatic modulation classification based on long short term memory (LSTM) is proposed. The model… read more here.
Keywords: classification; cost spectrum; spectrum sensors; spectrum ... See more keywords
SpecKriging: GNN-Based Secure Cooperative Spectrum Sensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3181064
Abstract: Cooperative spectrum sensing (CSS) adopted by spectrum-sensing providers (SSPs) plays a key role for dynamic spectrum access and is essential for avoiding interference with licensed primary users (PUs). A typical SSP system consists of geographically… read more here.
Keywords: spectrum sensing; spectrum sensors; speckriging gnn; spectrum ... See more keywords