Jamming attacks and anti-jamming strategies in wireless networks: A comprehensive survey

H Pirayesh, H Zeng - IEEE communications surveys & tutorials, 2022 - ieeexplore.ieee.org
Wireless networks are a key component of the telecommunications infrastructure in our
society, and wireless services become increasingly important as the applications of wireless …

A survey of physical layer techniques for secure wireless communications in industry

P Angueira, I Val, J Montalban, Ó Seijo… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The industrial environment poses strict requirements to the infrastructure of good and
service production and delivery. Communications are not an exception. Wired systems …

Deep learning based RF fingerprint identification using differential constellation trace figure

L Peng, J Zhang, M Liu, A Hu - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
This paper proposes a novel deep learning-based radio frequency fingerprint (RFF)
identification method for internet of things (IoT) terminal authentications. Differential …

Privacy in the smart city—applications, technologies, challenges, and solutions

D Eckhoff, I Wagner - IEEE Communications Surveys & …, 2017 - ieeexplore.ieee.org
Many modern cities strive to integrate information technology into every aspect of city life to
create so-called smart cities. Smart cities rely on a large number of application areas and …

Radio frequency fingerprint identification for narrowband systems, modelling and classification

J Zhang, R Woods, M Sandell… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Device authentication is essential for securing Internet of things. Radio frequency fingerprint
identification (RFFI) is an emerging technique that exploits intrinsic and unique hardware …

No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments

K Sankhe, M Belgiovine, F Zhou… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Due to the unprecedented scale of the Internet of Things, designing scalable, accurate,
energy-efficient and tamper-proof authentication mechanisms has now become more …

Design of a hybrid RF fingerprint extraction and device classification scheme

L Peng, A Hu, J Zhang, Y Jiang, J Yu… - IEEE internet of things …, 2018 - ieeexplore.ieee.org
Radio frequency (RF) fingerprint is the inherent hardware characteristics and has been
employed to classify and identify wireless devices in many Internet of Things applications …

A robust RF fingerprinting approach using multisampling convolutional neural network

J Yu, A Hu, G Li, L Peng - IEEE internet of things journal, 2019 - ieeexplore.ieee.org
With the increasing popularity of the Internet of Things (IoT), device identification, and
authentication has become a critical security issue. Recently, radio frequency (RF) …

A new frontier for IoT security emerging from three decades of key generation relying on wireless channels

J Zhang, G Li, A Marshall, A Hu, L Hanzo - IEEE Access, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is a transformative technology, which is revolutionizing our
everyday life by connecting everyone and everything together. The massive number of …

Screaming channels: When electromagnetic side channels meet radio transceivers

G Camurati, S Poeplau, M Muench, T Hayes… - Proceedings of the …, 2018 - dl.acm.org
This paper presents a new side channel that affects mixed-signal chips used in widespread
wireless communication protocols, such as Bluetooth and WiFi. This increasingly common …