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相关论文: Radio Frequency Fingerprint Identification for Sec…

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Radio frequency fingerprint identification (RFFI) can classify wireless devices by analyzing the signal distortions caused by the intrinsic hardware impairments. State-of-the-art neural networks have been adopted for RFFI. However, many…

信号处理 · 电气工程与系统科学 2022-07-08 Guanxiong Shen , Junqing Zhang , Alan Marshall , Mikko Valkama , Joseph Cavallaro

Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique that relies on intrinsic hardware characteristics of wireless devices. We designed an RFFI scheme for Long Range (LoRa) systems based on…

信号处理 · 电气工程与系统科学 2021-01-06 Guanxiong Shen , Junqing Zhang , Alan Marshall , Linning Peng , Xianbin Wang

Securing Internet of Things (IoT) devices presents increasing challenges due to their limited computational and energy resources. Radio Frequency Fingerprint Identification (RFFI) emerges as a promising authentication technique to identify…

信号处理 · 电气工程与系统科学 2025-03-10 Guolin Yin , Junqing Zhang , Yuan Ding , Simon Cotton

Radio frequency fingerprint identification (RFFI) is a lightweight device authentication technique particularly desirable for power-constrained devices, e.g., the Internet of things (IoT) devices. Similar to biometric fingerprinting, RFFI…

信号处理 · 电气工程与系统科学 2023-11-27 Lu Yang , Seyit Camtepe , Yansong Gao , Vicky Liu , Dhammika Jayalath

Radio frequency fingerprint identification (RFFI) is becoming increasingly popular, especially in applications with constrained power, such as the Internet of Things (IoT). Due to subtle manufacturing variations, wireless devices have…

信号处理 · 电气工程与系统科学 2024-10-11 Lu Yang , Seyit Camtepe , Yansong Gao , Vicky Liu , Dhammika Jayalath

Radio frequency fingerprint identification (RFFI) is a promising device authentication technique based on the transmitter hardware impairments. In this paper, we propose a scalable and robust RFFI framework achieved by deep learning powered…

信号处理 · 电气工程与系统科学 2021-07-08 Guanxiong Shen , Junqing Zhang , Alan Marshall , Joseph Cavallaro

Radio frequency fingerprint identification (RFFI) is an emerging method for authenticating Internet of Things (IoT) devices. RFFI exploits the intrinsic and unique hardware imperfections for classifying IoT devices. Deep learning-based RFFI…

密码学与安全 · 计算机科学 2025-12-16 Jie Ma , Junqing Zhang , Guanxiong Shen , Linning Peng , Alan Marshall

With the rapid proliferation of wireless and Internet of Things (IoT) devices, ensuring secure and reliable device identification has become a significant challenge. Traditional security techniques, such as IP or MAC address-based…

信息论 · 计算机科学 2026-05-26 Liu Yang , Qiang Li , Xiaoyang Ren

Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique, which exploits the hardware characteristics of the RF front-end as device identifiers. RFFI is implemented in the wireless receiver and acts…

信号处理 · 电气工程与系统科学 2022-07-08 Guanxiong Shen , Junqing Zhang , Alan Marshall , Roger Woods , Joseph Cavallaro , Liquan Chen

Radio frequency (RF) fingerprint technology is utilized for wireless device identification, extensively employed in the internet of things (IoT). The operating environment for IoT devices is challenging, with pervasive noise and distortion…

信号处理 · 电气工程与系统科学 2024-12-19 Junxian Shi , Linning Peng , Wentao Jing , Lingnan Xie , Haichuan Peng , Aiqun Hu

Radio frequency fingerprint identification (RFFI) is an emerging technique for the lightweight authentication of wireless Internet of things (IoT) devices. RFFI exploits unique hardware impairments as device identifiers, and deep learning…

密码学与安全 · 计算机科学 2023-08-16 Jie Ma , Junqing Zhang , Guanxiong Shen , Alan Marshall , Chip-Hong Chang

The deployment of the Internet of Things (IoT) in smart cities and critical infrastructure has enhanced connectivity and real-time data exchange but introduced significant security challenges. While effective, cryptography can often be…

机器学习 · 计算机科学 2024-12-17 Ahmed Mohamed Hussain , Nada Abughanam , Panos Papadimitratos

Deep-learning-based device fingerprinting has recently been recognized as a key enabler for automated network access authentication. Its robustness to impersonation attacks due to the inherent difficulty of replicating physical features is…

机器学习 · 计算机科学 2022-09-01 Bechir Hamdaoui , Abdurrahman Elmaghbub

Radio Frequency Fingerprint Identification (RFFI) technology uniquely identifies emitters by analyzing unique distortions in the transmitted signal caused by non-ideal hardware. Recently, RFFI based on deep learning methods has gained…

信号处理 · 电气工程与系统科学 2024-11-07 Ying Zhang , Qiang Li , Hongli Liu , Liu Yang , Jian Yang

Radio frequency fingerprint identification (RFFI) distinguishes wireless devices by the small variations in their analog circuits, avoiding heavy cryptographic authentication. While deep learning on spectrograms improves accuracy, models…

密码学与安全 · 计算机科学 2025-09-22 Aarushi Mahajan , Wayne Burleson

Radio frequency fingerprint identification (RFFI) is a promising device authentication approach by exploiting the unique hardware impairments as device identifiers. Because the hardware features are extracted from the received waveform,…

信号处理 · 电气工程与系统科学 2024-12-12 Lingnan Xie , Linning Peng , Junqing Zhang

In Internet of Things (IoT), radio frequency fingerprints (RFF) technology has been widely used for passive security authentication to identify the special emitter. However, few works took advantage of independent oscillator distortions at…

信号处理 · 电气工程与系统科学 2023-07-12 Xiaofang Chen , Wenbo Xu , Yue Wang

In Internet of Things, where billions of devices with limited resources are communicating with each other, security has become a major stumbling block affecting the progress of this technology. Existing authentication schemes-based on…

信号处理 · 电气工程与系统科学 2020-12-08 Sekhar Rajendran , Zhi Sun , Feng Lin , Kui Ren

Radio frequency fingerprint identification (RFFI) is an emerging technique for the lightweight authentication of wireless Internet of things (IoT) devices. RFFI exploits deep learning models to extract hardware impairments to uniquely…

密码学与安全 · 计算机科学 2025-12-16 Jie Ma , Junqing Zhang , Guanxiong Shen , Alan Marshall , Chip-Hong Chang

The proliferation of Internet of Things (IoT) devices has increased the need for secure authentication. While traditional encryption-based solutions can be robust, they often impose high computational and energy overhead on resource-limited…

信号处理 · 电气工程与系统科学 2025-02-06 Muhammad Aqib Khan , Muhammad Usman Siddiqui
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