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http://hdl.handle.net/1942/39313
Title: | FOCUS: Frequency Based Detection of Covert Ultrasonic Signals | Authors: | HELLEMANS, Wouter RABBANI, MD Masoom VLIEGEN, Jo MENTENS, Nele |
Issue Date: | 2022 | Publisher: | SPRINGER INTERNATIONAL PUBLISHING AG | Source: | Meng, Weizhi; Fischer-Hübner, Simone; D. Jensen, Christian (Ed.). ICT SYSTEMS SECURITY AND PRIVACY PROTECTION (SEC 2022), SPRINGER INTERNATIONAL PUBLISHING AG, p. 70 -86 | Series/Report: | IFIP Advances in Information and Communication Technology | Abstract: | Today's evolving and inventive attacks allow an adversary to embed tracking identifiers or malicious triggers in ultrasonic sound and covertly transmit them between devices without the users' knowledge. An adversary can exploit an electronic device by manipulating the microphone, gyroscope or speaker using ultrasonic sound. Almost all types of electronic devices are vulnerable to this type of attack. Indeed, some preventive measures are in place to counter ultrasonic invasion. However, they are primitive and often are not capable of detecting the attacks. To this end, we propose FOCUS: Frequency based detection of Covert Ultrasonic Signals. In particular, FOCUS displays a low-end, low-cost ultrasonic detection mechanism that can be employed anywhere. We validate FOCUS through two proof-of-concept (PoC) implementations utilizing Raspberry Pi and Arduino based hardware modules, respectively. The results demonstrate that FOCUS can detect ultrasonic sound and alert users of possible ultrasonic invasion. | Notes: | Hellemans, W (corresponding author), Katholieke Univ Leuven, Leuven, Belgium.; Hellemans, W (corresponding author), Univ Hasselt, Hasselt, Belgium.; Rabbani, MM (corresponding author), Katholieke Univ Leuven, ES&S, Imec COSIC, ESAT, Leuven, Belgium. wouter.hellemans@student.uhasselt.be; mdmasoom.rabbani@kuleuven.be; jo.vliegen@kuleuven.be; nele.mentens@kuleuven.be |
Keywords: | Embedded system;Ultrasonic sound invasion;Network security & privacy | Document URI: | http://hdl.handle.net/1942/39313 | ISBN: | 978-3-031-06975-8 978-3-031-06974-1 |
DOI: | 10.1007/978-3-031-06975-8_5 | ISI #: | 000894108100005 | Rights: | IFIP International Federation for Information Processing 2022 Published by Springer Nature Switzerland AG 2022 | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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ICT Systems Security and Privacy Protection.pdf Restricted Access | Published version | 573.55 kB | Adobe PDF | View/Open Request a copy |
FOCUS_Camera_ready.pdf | Peer-reviewed author version | 531.17 kB | Adobe PDF | View/Open |
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