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http://hdl.handle.net/1942/39313
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DC Field | Value | Language |
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dc.contributor.author | HELLEMANS, Wouter | - |
dc.contributor.author | RABBANI, MD Masoom | - |
dc.contributor.author | VLIEGEN, Jo | - |
dc.contributor.author | MENTENS, Nele | - |
dc.date.accessioned | 2023-01-24T08:04:08Z | - |
dc.date.available | 2023-01-24T08:04:08Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2023-01-19T13:07:58Z | - |
dc.identifier.citation | Meng, Weizhi; Fischer-Hübner, Simone; D. Jensen, Christian (Ed.). ICT SYSTEMS SECURITY AND PRIVACY PROTECTION (SEC 2022), SPRINGER INTERNATIONAL PUBLISHING AG, p. 70 -86 | - |
dc.identifier.isbn | 978-3-031-06975-8 | - |
dc.identifier.isbn | 978-3-031-06974-1 | - |
dc.identifier.issn | 1868-4238 | - |
dc.identifier.uri | http://hdl.handle.net/1942/39313 | - |
dc.description.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. | - |
dc.description.sponsorship | This work is supported by the ESCALATE project, funded by FWO and SNSF (G0E0719N), and by Cybersecurity Initiative Flanders (VR20192203). | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER INTERNATIONAL PUBLISHING AG | - |
dc.relation.ispartofseries | IFIP Advances in Information and Communication Technology | - |
dc.rights | IFIP International Federation for Information Processing 2022 Published by Springer Nature Switzerland AG 2022 | - |
dc.subject.other | Embedded system | - |
dc.subject.other | Ultrasonic sound invasion | - |
dc.subject.other | Network security & privacy | - |
dc.title | FOCUS: Frequency Based Detection of Covert Ultrasonic Signals | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.authors | Meng, Weizhi | - |
local.bibliographicCitation.authors | Fischer-Hübner, Simone | - |
local.bibliographicCitation.authors | D. Jensen, Christian | - |
local.bibliographicCitation.conferencedate | JUN 13-15, 2022 | - |
local.bibliographicCitation.conferencename | 37th IFIP TC 11 International Conference on ICT Systems Security and Privacy Protection (IFIP SEC) | - |
local.bibliographicCitation.conferenceplace | Copenhagen, DENMARK | - |
dc.identifier.epage | 86 | - |
dc.identifier.spage | 70 | - |
dc.identifier.volume | 648 | - |
local.format.pages | 17 | - |
local.bibliographicCitation.jcat | C1 | - |
dc.description.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. | - |
dc.description.notes | wouter.hellemans@student.uhasselt.be; mdmasoom.rabbani@kuleuven.be; | - |
dc.description.notes | jo.vliegen@kuleuven.be; nele.mentens@kuleuven.be | - |
local.publisher.place | GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
dc.identifier.doi | 10.1007/978-3-031-06975-8_5 | - |
dc.identifier.isi | 000894108100005 | - |
dc.identifier.eissn | 1868-422X | - |
local.provider.type | wosris | - |
local.bibliographicCitation.btitle | ICT SYSTEMS SECURITY AND PRIVACY PROTECTION (SEC 2022) | - |
local.description.affiliation | [Hellemans, Wouter] Katholieke Univ Leuven, Leuven, Belgium. | - |
local.description.affiliation | [Hellemans, Wouter] Univ Hasselt, Hasselt, Belgium. | - |
local.description.affiliation | [Rabbani, Md Masoom; Vliegen, Jo; Mentens, Nele] Katholieke Univ Leuven, ES&S, Imec COSIC, ESAT, Leuven, Belgium. | - |
local.description.affiliation | [Mentens, Nele] Leiden Univ, LIACS, Leiden, Netherlands. | - |
local.uhasselt.international | yes | - |
item.fullcitation | HELLEMANS, Wouter; RABBANI, MD Masoom; VLIEGEN, Jo & MENTENS, Nele (2022) FOCUS: Frequency Based Detection of Covert Ultrasonic Signals. In: Meng, Weizhi; Fischer-Hübner, Simone; D. Jensen, Christian (Ed.). ICT SYSTEMS SECURITY AND PRIVACY PROTECTION (SEC 2022), SPRINGER INTERNATIONAL PUBLISHING AG, p. 70 -86. | - |
item.contributor | HELLEMANS, Wouter | - |
item.contributor | RABBANI, MD Masoom | - |
item.contributor | VLIEGEN, Jo | - |
item.contributor | MENTENS, Nele | - |
item.fulltext | With Fulltext | - |
item.accessRights | Open Access | - |
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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