scholarly journals On Improving 5G Internet of Radio Light Security Based on LED Fingerprint Identification Method

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1515
Author(s):  
Dayu Shi ◽  
Xun Zhang ◽  
Lina Shi ◽  
Andrei Vladimirescu ◽  
Wojciech Mazurczyk ◽  
...  

In this paper, a novel device identification method is proposed to improve the security of Visible Light Communication (VLC) in 5G networks. This method extracts the fingerprints of Light-Emitting Diodes (LEDs) to identify the devices accessing the 5G network. The extraction and identification mechanisms have been investigated from the theoretical perspective as well as verified experimentally. Moreover, a demonstration in a practical indoor VLC-based 5G network has been carried out to evaluate the feasibility and accuracy of this approach. The fingerprints of four identical white LEDs were extracted successfully from the received 5G NR (New Radio) signals. To perform identification, four types of machine-learning-based classifiers were employed and the resulting accuracy was up to 97.1%.

Author(s):  
Ala' Fathi Khalifeh ◽  
Hasan Farahneh ◽  
Christopher Mekhiel ◽  
Xavier Fernando

Visible light communication (VLC) is a promising research topic that aims at utilizing the visible light spectrum for data communication, which in turn off-loads the heavily utilized wireless radio spectrum. VLC can take advantage of the increased use of light emitting diodes (LED) for lighting purposes in different fields, such as automotive headlights, traffic signals, advertising, aviation, and general lighting. Utilizing solid-state LEDs for lighting purposes not only saves energy but also can be used for data communication since LEDs can be easily modulated by switching the light on and off in frequencies above the human eye perception. This data can be transmitted in addition to the main lighting functionality of these devices. VLC is relatively easy to implement and safe, as it does not have potential side effects like the radio signals. As such, this new technology has a great potential for adoption in several applications. This chapter will briefly introduce the technology and discuss some potential indoors and outdoors applications.


Author(s):  
Ala' Fathi Khalifeh ◽  
Hasan Farahneh ◽  
Christopher Mekhiel ◽  
Xavier Fernando

Visible Light Communication (VLC) is a promising research topic that aims at utilizing the visible light spectrum for data communication, which in turns off-loads the heavily utilized wireless radio spectrum. VLC can take advantage of the increased use of Light Emitting Diodes (LED) for lighting purposes in different fields, such as automotive headlights, traffic signals, advertising, aviation and general lightening. Utilizing solid state lights LEDs for lighting purposes not only saves energy but also can be used for data communication since LEDs can be easily modulated by switching the light ON and Off in frequencies above the human eye perception. This data can be transmitted in addition to the main lightening functionality of these devices. VLC is relatively easy to implement, and safe, as it does not have potential side effects like the radio signals. As such, this new technology has a great potential for adoption in several applications. This book chapter will briefly introduce the technology and discuss some potential indoors and outdoors applications.


Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4620
Author(s):  
Xiaolin Gu ◽  
Wenjia Wu ◽  
Xiaodan Gu ◽  
Zhen Ling ◽  
Ming Yang ◽  
...  

Wi-Fi network has an open nature so that it needs to face greater security risks compared to wired network. The MAC address represents the unique identifier of the device, and is easily obtained by an attacker. Therefore MAC address randomization is proposed to protect the privacy of devices in a Wi-Fi network. However, implicit identifiers are used by attackers to identify user’s device, which can cause the leakage of user’s privacy. We propose device identification based on 802.11ac probe request frames. Here, a detailed analysis on the effectiveness of 802.11ac fields is given and a novel device identification method based on deep learning whose average f1-score exceeds 99% is presented. With a purpose of preventing attackers from obtaining relevant information by the device identification method above, we design a novel defense mechanism based on stream cipher. In that case, the original content of probe request frame is hidden by encrypting probe request frames and construction of probe request is reserved to avoid the finding of attackers. This defense mechanism can effectively reduce the performance of the proposed device identification method whose average f1-score is below 30%. In general, our research on attack and defense mechanism can preserve device privacy better.


2017 ◽  
Vol 403 ◽  
pp. 330-334 ◽  
Author(s):  
Qixia Wang ◽  
Zhendong Zhu ◽  
Huarong Gu ◽  
Mengzhu Chen ◽  
Qiaofeng Tan

Sign in / Sign up

Export Citation Format

Share Document