Results 31 to 40 of about 2,614 (275)
The existing radio frequency-based positioning approaches widely used for indoor localization-based service (LBS) are fingerprinting and trilateration and their integration with the inertial sensors-based dead reckoning system.
Santosh Subedi +3 more
doaj +1 more source
Radio frequency fingerprint identification for Internet of Things: A survey
Radio frequency fingerprint (RFF) identification is a promising technique for identifying Internet of Things (IoT) devices. This paper presents a comprehensive survey on RFF identification, which covers various aspects ranging from related definitions to details of each stage in the identification process, namely signal preprocessing, RFF feature ...
Lingnan Xie +3 more
openaire +2 more sources
Device-Free Localization and Identification Using Sub-GHz Passive Radio Mapping
The research domain of device-free localization (DFL) is centered on the study of localization techniques which do not require targets to wear any kind of device.
Stijn Denis +3 more
doaj +1 more source
Indoor localization is one of the most important topics in wireless navigation systems. The large number of applications that rely on indoor positioning makes advancements in this field important.
Elias Hatem +5 more
doaj +1 more source
Signal Preprocessing for Enhanced IoT Device Identification Using Support Vector Machine
Device identification based on radio frequency fingerprinting is widely used to improve the security of Internet of Things systems. However, noise and acquisition inconsistencies in raw radio frequency signals can affect the effectiveness of ...
Rene Francisco Santana-Cruz +4 more
doaj +1 more source
Efficient localisation plays a vital role in many modern applications of Unmanned Ground Vehicles (UGV) and Unmanned Aerial Vehicles (UAVs), which contributes to improved control, safety, power economy, etc.
Meisam Kabiri +4 more
doaj +1 more source
Radio Frequency Fingerprinting: Models, Methodologies and Performance
Radio Frequency fingerprinting (RFF) is emerging as a viable alternative to authenticating radio devices, serving as a mitigation technique for spoofing and impersonation attacks on the wireless channel. RFF relies on the observation that each radio transducer features a distinctive radio fingerprint that is impractical - or even impossible - to forge ...
Muhammad Irfan +3 more
openaire +1 more source
Threat Detection Model for WLAN of Simulated Data Using Deep Convolutional Neural Network
Security identification solutions against WLAN network attacks according to straightforward digital detectors, such as SSID, IP addresses, and MAC addresses, are not efficient in identifying such hacking or router impersonation.
Omar I. Dallal Bashi +4 more
doaj +1 more source
Radio Frequency Fingerprint Identification Based on Denoising Autoencoders [PDF]
Radio Frequency Fingerprinting (RFF) is one of the promising passive authentication approaches for improving the security of the Internet of Things (IoT). However, with the proliferation of low-power IoT devices, it becomes imperative to improve the identification accuracy at low SNR scenarios.
Jiabao Yu +6 more
openaire +2 more sources
Tangled Program Graph for Radio-Frequency Fingerprint Identification
This paper proposes to use Tangled Program Graph (TPG) for Radio Frequency Fingerprint (RFF) identification. RFF is a unique signature created by electromagnetic distortions of the different radio frequency hardware components in the device. This signature is contained in the signal and may be used as a secure identifier because it can not be easily ...
Chillet, Alice +4 more
openaire +2 more sources

