Aminuddin, Nur Sabryna and Habaebi, Mohamed Hadi and Yusoff, Siti Hajar and Islam, Md. Rafiqul (2021) Securing wireless communication using RF fingerprinting. In: 2021 8th International Conference On Computer Communication Engineering (ICCCE), 22-23 Jun 2021, Kuala Lumpur, Malaysia.
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Abstract
Recently, RF fingerprinting has become an arousing and emerging technology in identifying multiple wireless devices. The method is also believed to have a strong impact on its applications in the wireless security system. Security has always been a critical issue for wireless devices including in the application of Wireless Local Area Network (WLAN). For instance, Media Access Control (MAC) spoofing which is a malicious technique of changing a factory-assigned MAC address of a Network Interface Card (NIC) installed in a device. Due to this issue, this study suggests on making use of a network device’s unique RF fingerprint obtained from its raw baseband IQ samples to identify the transmitting radio. For WLAN, as RF fingerprinting is a physical layer security implementation, WLAN physical layer protocol data unit (PPDU) which contains L-LTF in preamble is extracted. Particularly, the RF fingerprinting process includes deep learning of convolutional neural network (CNN) as a classifier. The neural network is used to train a model by tuning and test-validation test before finalizing it as a final model for classification method for a security system.
Item Type: | Conference or Workshop Item (Slide Presentation) |
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Additional Information: | 6727/90593 |
Uncontrolled Keywords: | RF fingerprinting, WLAN, PHY, PPDU, CNN. |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering |
Depositing User: | Dr. Mohamed Hadi Habaebi |
Date Deposited: | 19 Jul 2021 16:44 |
Last Modified: | 14 Sep 2021 09:05 |
URI: | http://irep.iium.edu.my/id/eprint/90593 |
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