Amplitude-Modulating Analog/RF Hardware Trojans in Wireless Networks: Risks and Remedies

• Published in: IEEE transactions on information forensics and security Vol. 15; pp. 3497 - 3510
• Main Authors: Subramani, Kiruba Sankaran, Helal, Noha, Antonopoulos, Angelos, Nosratinia, Aria, Makris, Yiorgos
• Format: Journal Article
• Language: English
• Published: New York IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: adaptive channel estimation; Amplitudes; Analog circuits; Circuits; Communication system security; covert channel; Defense mechanisms; Hardware; Hardware Trojan; IEEE 802.11a/g; Malware; Orthogonal Frequency Division Multiplexing; Receivers; Transceivers; Transmitters; Trojan horses; Wireless communication; Wireless networks; Wireless sensor networks
• ISSN: 1556-6013; 1556-6021
• DOI: 10.1109/TIFS.2020.2990792

We investigate the risk posed by amplitude-modulating analog/RF hardware Trojans in wireless networks and propose a defense mechanism to mitigate the threat. First, we introduce the operating principles of amplitude-modulating analog/RF hardware Trojan circuits and we theoretically analyze their performance characteristics. Subject to channel conditions and hardware Trojan design restrictions, this analysis seeks to determine the impact of these malicious circuits on the legitimate communication and to understand the capabilities of the covert channel that they establish in practical wireless networks, by characterizing its error probability. Next, we present the implementation of two hardware Trojan examples on a Wireless Open-Access Research Platform (WARP)-based experimental setup. These examples reside in the analog and the RF circuitry of an 802.11a/g transmitter, respectively, where they manipulate the transmitted signal characteristics to leak their payload bits. Using these examples, we demonstrate (i) attack robustness, i.e., ability of the rogue receiver to successfully retrieve the leaked data, and (ii) attack inconspicuousness, i.e., ability of the hardware Trojan circuits to evade detection by existing defense methods. Lastly, we propose a defense mechanism that is capable of detecting analog/RF hardware Trojans in WiFi transceivers. The proposed defense, termed Adaptive Channel Estimation (ACE), leverages channel estimation capabilities of Orthogonal Frequency Division Multiplexing (OFDM) systems to robustly expose the Trojan activity in the presence of channel fading and device noise. Effectiveness of the ACE defense has been verified through experiments conducted in actual channel conditions, namely over-the-air and in the presence of interference.