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

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Detail(s)

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsGerhard P. Hancke, Konstantinos Markantonakis
PublisherSpringer, Cham
Pages188-203
Volume10155 LNCS
ISBN (Electronic)978-3-319-62024-4
ISBN (Print) 978-3-319-62023-7
StatePublished - 20 Jul 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10155 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Title12th International Workshop on Radio Frequency Identification and IoT Security, RFIDSec 2016
PlaceChina
CityHong Kong
Period30-2 December 2016

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.

Research Area(s)

  • Active attack, Audio channel communication, Self-jamming

Citation Format(s)

Self-jamming audio channels : Investigating the feasibility of perceiving overshadowing attacks. / Hu, Qiao; Hancke, Gerhard.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 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: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)