TY - GEN
T1 - Room Identification with Personal Voice Assistants (Extended Abstract)
AU - Azimi, Mohammadreza
AU - Roedig, Utz
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Personal Voice Assistants (PVAs) are used to interact with digital environments and computer systems using speech. In this work we describe how to identify the room in which the speaker is located. Only the audio signal is used for identification without using any other sensor input. We use the output of existing trained models for speaker identification in combination with a Support Vector Machine (SVM) to perform room identification. This method allows us to re-use existing elements of PVA eco-systems and an intensive training phase is not required. In our evaluation rooms can be identified with almost 90% accuracy. Room identification might be used as additional security mechanism and the work shows that speech signals recorded by PVAs can also leak additional information.
AB - Personal Voice Assistants (PVAs) are used to interact with digital environments and computer systems using speech. In this work we describe how to identify the room in which the speaker is located. Only the audio signal is used for identification without using any other sensor input. We use the output of existing trained models for speaker identification in combination with a Support Vector Machine (SVM) to perform room identification. This method allows us to re-use existing elements of PVA eco-systems and an intensive training phase is not required. In our evaluation rooms can be identified with almost 90% accuracy. Room identification might be used as additional security mechanism and the work shows that speech signals recorded by PVAs can also leak additional information.
UR - https://www.scopus.com/pages/publications/85125227018
U2 - 10.1007/978-3-030-95484-0_19
DO - 10.1007/978-3-030-95484-0_19
M3 - Conference proceeding
AN - SCOPUS:85125227018
SN - 9783030954833
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 317
EP - 327
BT - Computer Security. ESORICS 2021 International Workshops - CyberICPS, SECPRE, ADIoT, SPOSE, CPS4CIP, and CDT and SECOMANE, 2021
A2 - Katsikas, Sokratis
A2 - Lambrinoudakis, Costas
A2 - Cuppens, Nora
A2 - Mylopoulos, John
A2 - Kalloniatis, Christos
A2 - Meng, Weizhi
A2 - Furnell, Steven
A2 - Pallas, Frank
A2 - Pohle, Jörg
A2 - Sasse, M. Angela
A2 - Abie, Habtamu
A2 - Ranise, Silvio
A2 - Verderame, Luca
A2 - Cambiaso, Enrico
A2 - Maestre Vidal, Jorge
A2 - Sotelo Monge, Marco Antonio
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th Workshop on the Security of Industrial Control Systems and of Cyber-Physical Systems, CyberICPS 2021, 5th International Workshop on Security and Privacy Requirements Engineering, SECPRE 2021, 4th International Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2021, 3rd Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2021, 2nd Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2021 and 1st International Workshop on Cyber Defence Technologies and Secure Communications at the Network Edge, CDT and SECOMANE 2021 held in conjunction with 26th European Symposium on Research in Computer Security, ESORICS 2021
Y2 - 4 October 2021 through 8 October 2021
ER -