Implement of a secure selective ultrasonic microphone jammer

Chen, Yike; Gao, Ming; Liu, Huan; Liu, Jian‐Wei; Xu, Xiaomei; Cheng, Le; Han, Jinsong

doi:10.1007/s42486-021-00074-2

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…Voice-activated devices have become increasingly prevalent daily, with billions of digital voice assistants worldwide and a significant market share held by popular platforms such as Apple Siri, Google Assistant, and Amazon Alexa [1][2]. Researchers have made progress in developing defense mechanisms and detection techniques to counter ultrasonic attacks and other security risks associated with voiceactivated devices [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Continued vigilance and innovation are essential to ensuring user safety and privacy [14].…”

Section: Introductionmentioning

confidence: 99%

“…Practical attacks and countermeasures have also been a subject of research interest, focusing on the development of selective ultrasonic microphone jammers, defense schemes against specific attacks, and threat modeling [6,9,18,24,33,38,46,49,50,53,57,65,70,76,77,82]. These studies have aimed to provide practical solutions to protect voice assistants and mitigate potential risks.…”

Section: Introductionmentioning

confidence: 99%

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2023

IJNSA

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The practical implications of issuing inaudible voice commands. The research mapped each attack vector to a tactic or technique from the MITRE ATT&CK matrix, covering enterprise, mobile, and Industrial Control System (ICS) frameworks. The experiment involved generating and surveying fifty near-ultrasonic audios to assess the attacks' effectiveness. Unprocessed commands achieved a 100% success rate, while processed commands achieved an 86% acknowledgment rate and a 58% overall executed (successful) rate. The research systematically stimulated previously unaddressed attack surfaces, aiming for comprehensive detection and attack design. Each ATT&CK identifier was paired with a tested defensive method, providing attack and defense tactics. The research findings revealed that the attack method employed Single Upper Sideband Amplitude Modulation (SUSBAM) to generate near-ultrasonic audio from audible sources. By eliminating the lower sideband, the design achieved a 6 kHz minimum from 16-22 kHz while remaining inaudible after transformation. The research also investigated the one-to-many attack surface, exploring scenarios where a single device triggers multiple actions or devices. Furthermore, the study demonstrated the reversibility or demodulation of the inaudible signal, suggesting potential alerting methods and the possibility of embedding secret messages like audio steganography. A critical methodological advance included tapping into the postprocessed audio signal when the server demodulates the signal for comparison to both the audible and inaudible input signals to improve the actionable success rates.

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