Leveraging Deep Learning for IoT Transceiver Identification
With the increasing demand for Internet of Things (IoT) network applications, the lack of adequate identification and authentication has become a significant security concern. Radio frequency fingerprinting techniques, which utilize regular radio traffic
Jiayao Gao +3 more
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Radio Frequency Fingerprint Identification for Security in Low-Cost IoT Devices [PDF]
Radio frequency fingerprint identification (RFFI) can uniquely classify wireless devices by analyzing the received signal distortions caused by the intrinsic hardware impairments. The state-of-the-art deep learning techniques such as convolutional neural network (CNN) have been adopted to classify IoT devices with high accuracy.
Guanxiong Shen +4 more
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Transmitter Fingerprinting for VLC Systems via Deep Feature Separation Network
Visible light communication (VLC) is a promising technology with a high data rate that can supplement radio frequency communication. Although VLC systems have a natural advantage of high security due to the line-of-sight light propagation characteristic,
Weisong Liu +3 more
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Electromagnetic radiation-based IC device identification and verification using deep learning
The electromagnetic radiation of electronic equipment carries information and can cause information leakage, which poses a serious threat to the security system; especially the information leakage caused by encryption or other important equipment will ...
Hong-xin Zhang +5 more
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How to Sustain Smart Connected Hospital Services: An Experience from a Pilot Project on IoT-Based Healthcare Services [PDF]
ObjectivesThis paper describes an experience of implementing seamless service trials online and offline by adopting Internet of Things (IoT) technology based on near-field communication (NFC) tags and Bluetooth low-energy (BLE) beacons. The services were
Arum Park, Hyejung Chang, Kyoung Jun Lee
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On the Design and Implementation of an IoT based Architecture for Reading Ultra High Frequency Tags
Internet of Things comprises an increasing number of interconnected smart devices, where communication happens anytime, anywhere, reducing hardware costs and the complexity of the architectures.
Yago Luiz dos Santos, Edna Dias Canedo
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Poultry production currently relies on the use of soybean as the main protein and energy source. Reducing its proportion in poultry diets and partly replacing it with local feedstuffs would improve sustainability by reducing dependence on importations ...
Quentin Berger +7 more
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Study on Radio-Frequency Signal Gene Characteristics From the Perspective of Fractal Theory
Radio frequency signal identification technology is a non-password authentication method based on the physical layer hardware of the device. This paper explores the feature extraction and recognition method based on the gene characteristics of the radio ...
Jingchao Li +4 more
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Location-Invariant Physical Layer Identification Approach for WiFi Devices
Recently, Radio Frequency Fingerprinting (RFF) becomes a promising technique which augments existing multifactor authentication schemes at the device level to counter forgery and related threats.
Guyue Li +3 more
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Deep Learning-Based RF Fingerprint Identification With Channel Effects Mitigation
The radio frequency fingerprint (RFF)-based device identification is a promising physical layer authentication technique. However, the wireless channel significantly affects the RFF features of the wideband wireless devices. In this paper, we extensively
Hua Fu, Linning Peng, Ming Liu, Aiqun Hu
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