Physical layer authentication in wireless networks-based machine learning approaches
L Alhoraibi, D Alghazzawi, R Alhebshi, OBJ Rabie - Sensors, 2023 - mdpi.com
The physical layer security of wireless networks is becoming increasingly important because
of the rapid development of wireless communications and the increasing security threats. In …
of the rapid development of wireless communications and the increasing security threats. In …
Device fingerprinting for cyber-physical systems: a survey
The continued growth of the cyber-physical system (CPS) and Internet of Things
technologies raises device security and monitoring concerns. For device identification …
technologies raises device security and monitoring concerns. For device identification …
Secure industrial iot systems via rf fingerprinting under impaired channels with interference and noise
Industrial IoT-enabled critical infrastructures are susceptible to cyber attacks due to their
mission-critical deployment. To ensure security by design, radio frequency (RF)-based …
mission-critical deployment. To ensure security by design, radio frequency (RF)-based …
A robust and practical solution to ADS-B security against denial-of-service attacks
ADS-B has been widely deployed on aircraft to facilitate aviation information exchange and
improve air traffic safety. However, its broadcast nature and lack of security considerations …
improve air traffic safety. However, its broadcast nature and lack of security considerations …
Embedding-assisted attentional deep learning for real-world RF fingerprinting of Bluetooth
A Jagannath, J Jagannath - IEEE Transactions on Cognitive …, 2023 - ieeexplore.ieee.org
A scalable and computationally efficient framework is designed to fingerprint real-world
Bluetooth devices. We propose an embedding-assisted attentional framework (Mbed-ATN) …
Bluetooth devices. We propose an embedding-assisted attentional framework (Mbed-ATN) …
Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression
A Jagannath, J Jagannath - Physical Communication, 2022 - Elsevier
Future communication networks must address the scarce spectrum to accommodate
extensive growth of heterogeneous wireless devices. Efforts are underway to address …
extensive growth of heterogeneous wireless devices. Efforts are underway to address …
Attention is needed for RF fingerprinting
H Gu, L Su, W Zhang, C Ran - IEEE Access, 2023 - ieeexplore.ieee.org
Radio Frequency (RF) fingerprinting is a novel solution for identifying a unique radio from a
large pool of devices by analyzing the subtle characteristics that are inherent in the radio …
large pool of devices by analyzing the subtle characteristics that are inherent in the radio …
Considerations, advances, and challenges associated with the use of specific emitter identification in the security of internet of things deployments: A survey
JH Tyler, MKM Fadul, DR Reising - Information, 2023 - mdpi.com
Initially introduced almost thirty years ago for the express purpose of providing electronic
warfare systems the capabilities to detect, characterize, and identify radar emitters, Specific …
warfare systems the capabilities to detect, characterize, and identify radar emitters, Specific …
The day-after-tomorrow: On the performance of radio fingerprinting over time
The performance of Radio Frequency (RF) Fingerprinting (RFF) techniques is negatively
impacted when the training data is not temporally close to the testing data. This can limit the …
impacted when the training data is not temporally close to the testing data. This can limit the …
Secure design of cyber-physical systems at the radio frequency level: Machine and deep learning-driven approaches, challenges and opportunities
With the deployment of new 5G services, many of the critical infrastructures such as
connected vehicles, remote healthcare and smart infrastructures will be deployed on radio …
connected vehicles, remote healthcare and smart infrastructures will be deployed on radio …