Securing Physical Layer Key Generation in Ambient Backscatter Devices Against Injection Attack

The necessity for ultra-low-power consumption devices that enable the Internet of Things (IoT) networks to be more energy efficient, leads to considering Ambient Backscatter Communication (AmBC). Such devices exploit ambient radio-frequency signals to communicate and harvest energy. Though, the physical layer key generation (PLKG) scheme that enables AmBC to generate a secret key for data encryption, is vulnerable to injection attacks. Under such a menace, an attacker injects predefined signals and contributes to the PLKG. Thereby, it possesses a part of the generated bits and uses brute force attack to compromise the entire key. Inspired by that, we carefully prove the vulnerability of the existing PLKG approach in AmBC to injection attack. Then, we propose the employment of a smart device that aims at detecting the attack and canceling the malicious signal. Furthermore, we propose a new strategy that enables legitimate devices to utilize the entire received ambient signal for PLKG while exploiting the malicious signal for energy harvesting. Hence, the attacker becomes the victim. Finally, we provide numerical simulations that accentuate the consequence of the menace and the effectiveness of our security method, even though only 80% of the injected signal is removed. Besides, we prove the efficacy of our energy harvesting strategy.

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Publication Details

Journal
IEEE Transactions on Cognitive Communications and Networking
Published
2025-03-26
DOI
https://doi.org/10.1109/tccn.2025.3554683
Primary Topic
Wireless Communication Security Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Securing Physical Layer Key Generation in Ambient Backscatter Devices Against Injection Attack

Neji Mensi, Danda B. Rawat, Min Song
IEEE Transactions on Cognitive Communications and Networking
Wireless Communication Security Techniques
article

Securing Physical Layer Key Generation in Ambient Backscatter Devices Against Injection Attack

Neji Mensi, Danda B. Rawat, Min Song
article en

Abstract

The necessity for ultra-low-power consumption devices that enable the Internet of Things (IoT) networks to be more energy efficient, leads to considering Ambient Backscatter Communication (AmBC). Such devices exploit ambient radio-frequency signals to communicate and harvest energy. Though, the physical layer key generation (PLKG) scheme that enables AmBC to generate a secret key for data encryption, is vulnerable to injection attacks. Under such a menace, an attacker injects predefined signals and contributes to the PLKG. Thereby, it possesses a part of the generated bits and uses brute force attack to compromise the entire key. Inspired by that, we carefully prove the vulnerability of the existing PLKG approach in AmBC to injection attack. Then, we propose the employment of a smart device that aims at detecting the attack and canceling the malicious signal. Furthermore, we propose a new strategy that enables legitimate devices to utilize the entire received ambient signal for PLKG while exploiting the malicious signal for energy harvesting. Hence, the attacker becomes the victim. Finally, we provide numerical simulations that accentuate the consequence of the menace and the effectiveness of our security method, even though only 80% of the injected signal is removed. Besides, we prove the efficacy of our energy harvesting strategy.

IEEE Transactions on Cognitive Communications and NetworkingVol. 12
Florida Institute of Technology (US), Stevens Institute of Technology (US), Howard University (US)
U.S. Department of Defense
Openalex Percentile: Top 95%
Wireless Communication Security Techniques
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