Self-jamming audio channels: Investigating the feasibility of perceiving overshadowing attacks

Qiao Hu; Gerhard Hancke

doi:10.1007/978-3-319-62024-4_14

Self-jamming audio channels: Investigating the feasibility of perceiving overshadowing attacks

^*Corresponding author for this work

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

Recently there has been interesting in short-range communication using audio channels for device pairing and as a self-jamming communication medium. Given that such channels are audible to participants they are considered more resistant to active attacks, i.e. the attack could be distinguished by the participants. In this paper, we investigate the validity of this assumption in the only two practical acoustic self-jamming systems using different modulation schemes. We show that basic overshadowing is possible in these systems using an audio channel and that the attack cannot be effectively detected by the participants.

Original language	English
Title of host publication	Radio Frequency Identification and IoT Security
Subtitle of host publication	12th International Workshop, RFIDSec 2016, Revised Selected Papers
Editors	Gerhard P. Hancke, Konstantinos Markantonakis
Publisher	Springer, Cham
Pages	188-203
Volume	10155 LNCS
ISBN (Electronic)	978-3-319-62024-4
ISBN (Print)	978-3-319-62023-7
DOIs	https://doi.org/10.1007/978-3-319-62024-4_14
Publication status	Published - 20 Jul 2017
Event	12th International Workshop on Radio Frequency Identification and IoT Security (RFIDSec 2016): RFIDSec 2016 - Hong Kong, China Duration: 30 Nov 2016 → 2 Dec 2016 https://rfidsec2016.org/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10155 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Workshop on Radio Frequency Identification and IoT Security (RFIDSec 2016)
Country/Territory	China
City	Hong Kong
Period	30/11/16 → 2/12/16
Internet address	https://rfidsec2016.org/

Research Keywords

Active attack
Audio channel communication
Self-jamming

Access Output

10.1007/978-3-319-62024-4_14

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Hu, Q., & Hancke, G. (2017). Self-jamming audio channels: Investigating the feasibility of perceiving overshadowing attacks. In G. P. Hancke, & K. Markantonakis (Eds.), Radio Frequency Identification and IoT Security: 12th International Workshop, RFIDSec 2016, Revised Selected Papers (Vol. 10155 LNCS, pp. 188-203). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10155 LNCS). Springer, Cham. https://doi.org/10.1007/978-3-319-62024-4_14

Hu, Qiao ; Hancke, Gerhard. / Self-jamming audio channels : Investigating the feasibility of perceiving overshadowing attacks. Radio Frequency Identification and IoT Security: 12th International Workshop, RFIDSec 2016, Revised Selected Papers. editor / Gerhard P. Hancke ; Konstantinos Markantonakis. Vol. 10155 LNCS Springer, Cham, 2017. pp. 188-203 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{3f69ba54ab0b44e68fca1cac9d03d9e6,

title = "Self-jamming audio channels: Investigating the feasibility of perceiving overshadowing attacks",

abstract = "Recently there has been interesting in short-range communication using audio channels for device pairing and as a self-jamming communication medium. Given that such channels are audible to participants they are considered more resistant to active attacks, i.e. the attack could be distinguished by the participants. In this paper, we investigate the validity of this assumption in the only two practical acoustic self-jamming systems using different modulation schemes. We show that basic overshadowing is possible in these systems using an audio channel and that the attack cannot be effectively detected by the participants.",

keywords = "Active attack, Audio channel communication, Self-jamming",

author = "Qiao Hu and Gerhard Hancke",

year = "2017",

month = jul,

day = "20",

doi = "10.1007/978-3-319-62024-4_14",

language = "English",

isbn = " 978-3-319-62023-7",

volume = "10155 LNCS",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer, Cham",

pages = "188--203",

editor = "Hancke, {Gerhard P. } and Markantonakis, {Konstantinos }",

booktitle = "Radio Frequency Identification and IoT Security",

note = "12th International Workshop on Radio Frequency Identification and IoT Security (RFIDSec 2016) : RFIDSec 2016 ; Conference date: 30-11-2016 Through 02-12-2016",

url = "https://rfidsec2016.org/",

}

Hu, Q & Hancke, G 2017, Self-jamming audio channels: Investigating the feasibility of perceiving overshadowing attacks. in GP Hancke & K Markantonakis (eds), Radio Frequency Identification and IoT Security: 12th International Workshop, RFIDSec 2016, Revised Selected Papers. vol. 10155 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10155 LNCS, Springer, Cham, pp. 188-203, 12th International Workshop on Radio Frequency Identification and IoT Security (RFIDSec 2016), Hong Kong, China, 30/11/16. https://doi.org/10.1007/978-3-319-62024-4_14

Self-jamming audio channels: Investigating the feasibility of perceiving overshadowing attacks. / Hu, Qiao ; Hancke, Gerhard.
Radio Frequency Identification and IoT Security: 12th International Workshop, RFIDSec 2016, Revised Selected Papers. ed. / Gerhard P. Hancke; Konstantinos Markantonakis. Vol. 10155 LNCS Springer, Cham, 2017. p. 188-203 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10155 LNCS).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Self-jamming audio channels

T2 - 12th International Workshop on Radio Frequency Identification and IoT Security (RFIDSec 2016)

AU - Hu, Qiao

AU - Hancke, Gerhard

PY - 2017/7/20

Y1 - 2017/7/20

N2 - Recently there has been interesting in short-range communication using audio channels for device pairing and as a self-jamming communication medium. Given that such channels are audible to participants they are considered more resistant to active attacks, i.e. the attack could be distinguished by the participants. In this paper, we investigate the validity of this assumption in the only two practical acoustic self-jamming systems using different modulation schemes. We show that basic overshadowing is possible in these systems using an audio channel and that the attack cannot be effectively detected by the participants.

AB - Recently there has been interesting in short-range communication using audio channels for device pairing and as a self-jamming communication medium. Given that such channels are audible to participants they are considered more resistant to active attacks, i.e. the attack could be distinguished by the participants. In this paper, we investigate the validity of this assumption in the only two practical acoustic self-jamming systems using different modulation schemes. We show that basic overshadowing is possible in these systems using an audio channel and that the attack cannot be effectively detected by the participants.

KW - Active attack

KW - Audio channel communication

KW - Self-jamming

UR - http://www.scopus.com/inward/record.url?scp=85026734187&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85026734187&origin=recordpage

U2 - 10.1007/978-3-319-62024-4_14

DO - 10.1007/978-3-319-62024-4_14

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-3-319-62023-7

VL - 10155 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 188

EP - 203

BT - Radio Frequency Identification and IoT Security

A2 - Hancke, Gerhard P.

A2 - Markantonakis, Konstantinos

PB - Springer, Cham

Y2 - 30 November 2016 through 2 December 2016

ER -

Hu Q , Hancke G. Self-jamming audio channels: Investigating the feasibility of perceiving overshadowing attacks. In Hancke GP, Markantonakis K, editors, Radio Frequency Identification and IoT Security: 12th International Workshop, RFIDSec 2016, Revised Selected Papers. Vol. 10155 LNCS. Springer, Cham. 2017. p. 188-203. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-62024-4_14

Self-jamming audio channels: Investigating the feasibility of perceiving overshadowing attacks

Abstract

Publication series

Conference

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this