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dc.contributor.authorAlanwar, Amr
dc.contributor.authorBalaji, Bharathan
dc.contributor.authorTian, Yuan
dc.contributor.authorYang, Shuo
dc.contributor.authorSrivastava, Mani
dc.date.accessioned2021-03-28T12:42:59Z
dc.date.available2021-03-28T12:42:59Z
dc.date.issued2017-11-05
dc.identifier.citationAlanwar, A., Balaji, B., Tian, Y., Yang, S., & Srivastava, M. (2017). EchoSafe. Proceedings of the 1st ACM Workshop on the Internet of Safe Things. doi:10.1145/3137003.3137014
dc.identifier.isbn9781450355452
dc.identifier.doi10.1145/3137003.3137014
dc.identifier.urihttp://hdl.handle.net/10754/668318
dc.description.abstractVoice controlled interactive smart speakers, such as Google Home, Amazon Echo, and Apple HomePod are becoming commonplace in today’s homes. These devices listen continually for the user commands, that are triggered by special keywords, such as "Alexa" and "Hey Siri". Recent research has shown that these devices are vulnerable to attacks through malicious voice commands from nearby devices. The commands can be sent easily during unoccupied periods, so that the user may be unaware of such attacks. We present EchoSafe, a user-friendly sonar-based defense against these attacks. When the user sends a critical command to the smart speaker, EchoSafe sends an audio pulse followed by post processing to determine if the user is present in the room. We can detect the user’s presence during critical commands with 93.13% accuracy, and our solution can be extended to defend against other attack scenarios, as well.
dc.description.sponsorshipThis research is funded in part by the National Science Foundation under awards # CNS-1329755 and CNS-1705135, and by the King Abdullah University of Science and Technology (KAUST) through its Sensor Innovation research program. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the funding agencies.
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.urlhttps://dl.acm.org/doi/10.1145/3137003.3137014
dc.rightsArchived with thanks to ACM
dc.titleEchoSafe
dc.typeConference Paper
dc.conference.date2017-11-05
dc.conference.name1st ACM International Workshop on the Internet of Safe Things, SafeThings 2017
dc.conference.locationDelft, NLD
dc.eprint.versionPre-print
dc.contributor.institutionUniversity of California, Los Angeles, Los Angeles, California, USA
dc.contributor.institutionCarnegie Mellon University, Moffett Field, USA
dc.identifier.pages38-43
kaust.grant.numberSensor Innovation research program
dc.identifier.eid2-s2.0-85041407650


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