This paper proposes a heterogeneous neural network accelerator for multi-task RF signal recognition, achieving high accuracy and low latency for automatic modulation recognition, hardware-Trojan cover…

This paper proposes Agon, a semi-supervised satellite interference detection framework using a novel two-stage hybrid learning paradigm, achieving state-of-the-art detection performance with a 25.3% i…

This paper presents a portable, battery-powered RF capture system using a HackRF One SDR, Raspberry Pi 5, GNSS receiver, and high-speed storage for recording geotagged IQ data in real-world environmen…

This paper proposes a hierarchical analytical framework to characterize region-level latency differences in Low-Earth orbit satellite Internet using Starlink RTT measurements.

The paper analyzes the security and practical deployability of advanced Wi-Fi ranging standards (IEEE 802.11az/bk), concluding that while promising, secure implementation is highly sensitive to config…

This paper evaluates two approaches for maintaining safe separation between small Unmanned Aircraft Systems (sUAS) in urban environments with degraded Global Navigation Satellite System (GNSS) signals…

This paper proposes a federated learning framework using FedAvg to detect RF jamming attacks in 5G networks directly from over-the-air IQ samples, achieving high accuracy while maintaining user data p…

Researchers present DoSQ, a protocol-aware attack that decodes Downlink Control Information (DCI) to degrade Application layer service quality in 5G NR systems, achieving up to 50% Goodput reduction a…

This paper proposes a physical layer authentication mechanism using integrated sensing and communication (ISAC) to reconstruct environment layout, infer propagation channels, and authenticate transmit…

This paper proposes DANCE, a diffusion-based channel estimator for OFDM systems using a sparse linear inverse problem and a noise-adaptive posterior correction.

This paper proposes a physical backdoor attack against deep learning modulation classifiers, utilizing power amplifier non-linear distortions as physical triggers to achieve high attack success rates.

The paper proposes Triumvir, a multi-modal ensemble architecture that significantly improves the classification of small, raw data fragments to distinguish between encrypted and compressed data, outpe…

This paper proposes a Game-Theory-Integrated framework (GTI-mSEMP) to analyze dynamic malware propagation in heterogeneous cyber-physical networks.

This paper analyzes two novel, symbol-agnostic attacks—signal multiplication and negative group delay (NGD) filtering—that compromise cross-correlation-based Time-of-Arrival (ToA) estimation in narrow…

This paper proposes an online method, M-OSVGP with GOIPS, for efficiently updating radio maps from streaming spectrum measurements.