A survey of techniques for the identification of mobile phones using the physical fingerprints of the built-in components
In recent years, several research studies have investigated the identification of electronic
devices through their physical components and properties, both from a theoretical point of …
devices through their physical components and properties, both from a theoretical point of …
Exploiting a natural network effect for scalable, fine-grained clock synchronization
Nanosecond-level clock synchronization can be an enabler of a new spectrum of timing-and
delay-critical applications in data centers. However, the popular clock synchronization …
delay-critical applications in data centers. However, the popular clock synchronization …
Timing errors and temporal uncertainty in clinical databases—A narrative review
A firm concept of time is essential for establishing causality in a clinical setting. Review of
critical incidents and generation of study hypotheses require a robust understanding of the …
critical incidents and generation of study hypotheses require a robust understanding of the …
Understanding concurrent transmissions: The impact of carrier frequency offset and RF interference on physical layer performance
The popularity of concurrent transmissions (CT) has soared after recent studies have shown
their feasibility on the four physical layers specified by BLE 5, hence providing an alternative …
their feasibility on the four physical layers specified by BLE 5, hence providing an alternative …
EPS: distinguishable IQ data representation for domain-adaptation learning of device fingerprints
A Elmaghbub, B Hamdaoui - arxiv preprint arxiv:2308.04467, 2023 - arxiv.org
Deep learning (DL)-based RF fingerprinting (RFFP) technology has emerged as a powerful
physical-layer security mechanism, enabling device identification and authentication based …
physical-layer security mechanism, enabling device identification and authentication based …
Distinguishable iq feature representation for domain-adaptation learning of wifi device fingerprints
A Elmaghbub, B Hamdaoui - IEEE Transactions on Machine …, 2024 - ieeexplore.ieee.org
Deep learning (DL)-based RF fingerprinting (RFFP) technology has emerged as a powerful
physical-layer security mechanism, enabling device identification and authentication based …
physical-layer security mechanism, enabling device identification and authentication based …
Wireless fingerprinting via deep learning: The impact of confounding factors
Can we distinguish between two wireless transmitters sending exactly the same message,
using the same protocol? The opportunity for doing so arises due to subtle nonlinear …
using the same protocol? The opportunity for doing so arises due to subtle nonlinear …
Precise clock synchronization in high performance wireless communication for time sensitive networking
In this paper, an enhanced precision time protocol (PTP) to enable precise clock
synchronization between the nodes within an industrial wireless sensor network deployed …
synchronization between the nodes within an industrial wireless sensor network deployed …
Deepdemod: Bpsk demodulation using deep learning over software-defined radio
In wireless communication, signal demodulation under non-ideal conditions is one of the
important research topic. In this paper, a novel non-coherent binary phase shift keying …
important research topic. In this paper, a novel non-coherent binary phase shift keying …
Graham: Synchronizing clocks by leveraging local clock properties
High performance, strongly consistent applications are beginning to require scalable sub-
microsecond clock synchronization. State-of-the-art clock synchronization focuses on …
microsecond clock synchronization. State-of-the-art clock synchronization focuses on …