Search Results for author:
Found 12 papers, 0 papers with code
Adaptive Quantization for Key Generation in Low-Power Wide-Area Networks
Physical layer key generation based on reciprocal and random wireless channels has been an attractive solution for securing resource-constrained low-power wide-area networks (LPWANs).
Secret Key Generation for IRS-Assisted Multi-Antenna Systems: A Machine Learning-Based Approach
Different from most previous works that adopt iterative optimisation to solve the problem, the proposed DNN-based algorithm directly obtains the BS precoding and IRS phase shifts as the output of the DNN.
Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation
The Radio frequency (RF) fingerprinting technique makes highly secure device authentication possible for future networks by exploiting hardware imperfections introduced during manufacturing.
Machine Learning-Based Secret Key Generation for IRS-assisted Multi-antenna Systems
Different from most previous works that adopt the iterative optimization to solve the problem, the proposed DNN based algorithm directly obtains the BS precoding and IRS phase shifts as the output of the DNN.
Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments
Deep learning-based physical-layer secret key generation (PKG) has been used to overcome the imperfect uplink/downlink channel reciprocity in frequency division duplexing (FDD) orthogonal frequency division multiplexing (OFDM) systems.
Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identification
In this paper, we propose a receiver-agnostic RFFI system that is not sensitive to the changes in receiver characteristics; it is implemented by employing adversarial training to learn the receiver-independent features.
Towards Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification
During the inference, a multi-packet inference approach is further leveraged to improve the classification accuracy in low SNR scenarios.
FewSense, Towards a Scalable and Cross-Domain Wi-Fi Sensing System Using Few-Shot Learning
When the system was applied in the target domain, few samples were used to fine-tune the feature extractor for domain adaptation.
Radio Frequency Fingerprint Identification for Security in Low-Cost IoT Devices
Data augmentation is adopted to improve low SNR RFFI performance.
Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa
Radio frequency fingerprint identification (RFFI) is a promising device authentication technique based on the transmitter hardware impairments.
Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN
Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique that relies on intrinsic hardware characteristics of wireless devices.
A Channel Perceiving Attack on Long-Range Key Generation and Its Countermeasure
Unfortunately, there is no experimental validation for communications environments when there are large-scale and small-scale fading effects.
