| Title | IoT Devices Security Using RF Fingerprinting |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Nouichi, Douae, Abdelsalam, Mohamed, Nasir, Qassim, Abbas, Sohail |
| Conference Name | 2019 Advances in Science and Engineering Technology International Conferences (ASET) |
| Keywords | authentication, authentication problem, compositionality, computational complexity, computer network security, cryptographic protocols, cryptography-based authentication protocols, device identity fingerprint, emitted wireless signals, feature extraction, Fingerprint recognition, Internet of Things, Internet of Things devices industry, IoT, IoT devices security, mobile phone signal burst extraction, Object recognition, physical layer-based security authentication method, pubcrawl, Radio frequency, Radio Frequency Fingerprinting, RF Fingerprinting, Scalability, scalability problems, SDR, security, security scalability, smart devices, software defined radio, software radio, telecommunication security, Telecommunication standards, universal SDR-based inexpensive implementation, user-dedicated modes, Wireless communication, wireless RFF, wireless security authentication |
| Abstract | Internet of Things (IoT) devices industry is rapidly growing, with an accelerated increase in the list of manufacturers offering a wide range of smart devices selected to enhance end-users' standard of living. Security remains an after-thought in these devices resulting in vulnerabilities. While there exists a cryptographic protocol designed to solve such authentication problem, the computational complexity of cryptographic protocols and scalability problems make almost all cryptography-based authentication protocols impractical for IoT. Wireless RFF (Radio Frequency Fingerprinting) comes as a physical layer-based security authentication method that improves wireless security authentication, which is especially useful for the power and computing limited devices. As a proof-of-concept, this paper proposes a universal SDR (software defined Radio)-based inexpensive implementation intended to sense emitted wireless signals from IoT devices. Our approach is validated by extracting mobile phone signal bursts under different user-dedicated modes. The proposed setup is well adapted to accurately capture signals from different telecommunication standards. To ensure a unique identification of IoT devices, this paper also provides an optimum set of features useful to generate the device identity fingerprint. |
| DOI | 10.1109/ICASET.2019.8714205 |
| Citation Key | nouichi_iot_2019 |
IoT Devices Security Using RF Fingerprinting