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Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation [PDF]

IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2023
The Radio frequency (RF) fingerprinting technique makes highly secure device authentication possible for future networks by exploiting hardware imperfections introduced during manufacturing. Although this technique has received considerable attention over the past few years, RF fingerprinting still faces great challenges of channel-variation-induced ...
Chuanting Zhang, Shuping Dang, Junqing Zhang, Haixia Zhang 0001, Mark A. Beach   +4 more
core   +4 more sources

Radio frequency fingerprinting and its challenges [PDF]

2014 IEEE Conference on Communications and Network Security, 2014
RF fingerprinting aims to develop a unique RF fingerprint for a wireless device that can be used as an identity, in the same way a biological fingerprint operates, to improve the security and privacy of wireless communication. This is in contrast to the traditional bitlevel algorithmic approaches to securing transmissions.
Saeed Ur Rehman, Kevin W. Sowerby, Shafiq Alam, Iman Tabatabaei Ardekani   +3 more
openaire   +2 more sources

Frequency Matters: On the Impact of Carrier Frequency on Privacy in Radio Fingerprinting [PDF]

IEEE Wireless Communications Letters
Radio Frequency Fingerprinting (RFF) relies on unique inherent imperfections in radios’ hardware to authenticate devices based on Radio Frequency emissions. In this letter, we consider that fingerprints collected for multi-channel transmitters on certain frequencies get partially leaked to an adversary willing to track them, without information about ...
Ingrid Huso, Savio Sciancalepore, Gabriele Oligeri, Giuseppe Piro, Gennaro Boggia   +4 more
core   +4 more sources

On the Reliability of Radio Frequency Fingerprinting

CoRR
Radio Frequency Fingerprinting (RFF) offers a unique method for identifying devices at the physical (PHY) layer based on their RF emissions due to intrinsic hardware differences. Nevertheless, RFF techniques depend on the ability to extract information from the PHY layer of the radio spectrum by resorting to Software Defined Radios (SDR).
Muhammad Irfan, Savio Sciancalepore, Gabriele Oligeri   +2 more
openaire   +3 more sources

Radio Frequency Fingerprinting Authentication for IoT Networks Using Siamese Networks

IoT
As IoT (internet of things) devices grow in prominence, safeguarding them from cyberattacks is becoming a pressing challenge. To bootstrap IoT security, device identification or authentication is crucial for establishing trusted connections among devices
Raju Dhakal, Laxima Niure Kandel, Prashant Shekhar   +2 more
doaj   +2 more sources

Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities [PDF]

2024 International Wireless Communications and Mobile Computing (IWCMC)
Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices at the physical layer based on inherent hardware imperfections introduced during manufacturing. Such RF transmitter imperfections are reflected into over-the-air signals, allowing receivers to accurately identify the RF transmitting source.
Saeif Alhazbi, Ahmed Hussain, Savio Sciancalepore, Gabriele Oligeri, Panos Papadimitratos   +4 more
core   +5 more sources

Machine Learning for Radio Frequency Fingerprinting

Wireless communication networks require robust authentication meth-ods to safeguard against unauthorized access and potential threats.Traditional authentication techniques, such as cryptographic hand-shakes, while effective, have limitations, including increased networkoverhead and vulnerability of secret keys.
Mathew, Lisa, Yadav, Pinki
core   +3 more sources

Radio Frequency Fingerprint Collaborative Intelligent Blind Identification for Green Radios [PDF]

IEEE Transactions on Green Communications and Networking, 2023
Radio frequency fingerprint identification (RFFI) technology identifies the emitter by extracting one or more unintentional features of the signal from the emitter. To solve the problem that the traditional deep learning network is not highly adaptable for the contour features extracted from the signal, this paper proposes a novel RFFI method based on ...
Mingqian Liu, Chunheng Liu, Yunfei Chen 0001, Zhiwen Yan, Nan Zhao 0001   +4 more
openaire   +1 more source

Practical Cross-Layer Radio Frequency-Based Authentication Scheme for Internet of Things

Sensors, 2021
The Internet of Things world is in need of practical solutions for its security. Existing security mechanisms for IoT are mostly not implemented due to complexity, budget, and energy-saving issues. This is especially true for IoT devices that are battery
Arie Haenel, Yoram Haddad, Maryline Laurent, Zonghua Zhang   +3 more
doaj   +1 more source

Practical and Parameterized Fingerprinting Through Maximal Filtering for Indoor Positioning

IEEE Journal of Indoor and Seamless Positioning and Navigation, 2023
Fingerprinting techniques are known to perform better for radio-frequency-based indoor positioning compared to lateration-based techniques. However, accurate fingerprinting depends on a thorough prior scene analysis, in which the area should be described
F. Serhan Danis
doaj   +1 more source