Yazılım Tanımlı Radyoya Dayalı RF Parmak İzi Toplamak için Düşük Maliyetli Bir Çözüm

Year 2022, Volume: 2 Issue: 2, 179 - 188, 31.12.2022

Hüseyin Parmaksız , Cihan Karakuzu

Abstract

Teknoloji ve sistemlerin gelişmesiyle nesnelerin internet (IoT) kullanımı her geçen gün artmaktadır. IoT cihazlarının yaygın kullanımı, bu sistemlerin nasıl güvence altına alınabileceği sorusunu gündeme getirmektedir. Kaynak kısıtlamaları nedeniyle IoT cihazlarında güvenlik önlemi almak mümkün değildir. Bu nedenle, IoT cihazlarında güvenlik giderek daha önemli hale geliyor. Literatür incelendiğinde kablosuz cihazlar için ek bir güvenlik katmanı olarak radyo frekansı parmak izi teknikleri kullanıldığı görülmektedir. Kimlik sahtekarlığı veya kimlik sahtekarlığı saldırılarını önlemek için güvenlik amacıyla kablosuz cihazları tanımlamak için cihazların donanım bileşenlerindeki üretim kusurları nedeniyle benzersiz parmak izleri kullanılmaktadır. Bu çalışmada, IoT güvenliğini artırmak için etkili bir yöntem olarak kullanılan kablosuz sinyallerin toplama sistemi gerçeklenmiştir.

Keywords

DragonOS, Gnu radio, Hackrf one, IoT, radio frekans parmak izi

Supporting Institution

Bilecik Şeyh Edebali Üniversitesi Bilimsel Araştırma Projeleri Koordinatörlüğü

Project Number

2021-01.BŞEÜ.01-01

Thanks

Tüm akademik çalışmalarımda olduğu gibi bu yayında da önderliği, yardım ve desteklerini esirgemeyen doktora tez danışmanım Prof. Dr. Cihan KARAKUZU’ya teşekkür ederim.

A Low Cost Solution for Software Defined Radio Based RF Fingerprint Collection

Abstract

The use of the Internet of Things (IoT) is increasing with the advancement of technology and systems. The widespread use of IoT devices begs the question of how to secure these systems. Due to resource constraints, it is not possible to implement security measures on IoT devices. As a result, security is becoming increasingly important in IoT devices. Radio frequency fingerprinting techniques are used as an additional security layer for wireless devices, according to the literature. Unique fingerprints are used to identify wireless devices for security purposes to prevent spoofing or spoofing attacks due to manufacturing defects in the hardware components of the devices. In this study, a wireless signal acquisition system is implemented as an effective method of increasing IoT security.

Keywords

DragonOS, Gnu radio, Hackrf one, IoT, radio frequency fingerprint, software defined radio.

Project Number

2021-01.BŞEÜ.01-01

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