The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Continuous Authentication for Voice Assistants
Open accessAbstract
Voice has become an increasingly popular User Interaction (UI) channel, mainly contributing to the current trend of wearables, smart vehicles, and home automation systems. Voice assistants such as Alexa, Siri, and Google Now, have become our everyday fixtures, especially when/where touch interfaces are inconvenient or even dangerous to use, such as driving or exercising. The open nature of the voice channel makes voice assistants difficult to secure, and hence exposed to various threats as demonstrated by security researchers. To defend against these threats, we present VAuth, the first system that provides continuous authentication for voice assistants. VAuth is designed to fit in widely-adopted wearable devices, such as eyeglasses, earphones/buds and necklaces, where it collects the body-surface vibrations of the user and matches it with the speech signal received by the voice assistant's microphone. VAuth guarantees the voice assistant to execute only the commands that originate from the voice of the owner. We have evaluated VAuth with 18 users and 30 voice commands and find it to achieve 97% detection accuracy and less than 0.1% false positive rate, regardless of VAuth's position on the body and the user's language, accent or mobility. VAuth successfully thwarts various practical attacks, such as replay attacks, mangled voice attacks, or impersonation attacks. It also incurs low energy and latency overheads and is compatible with most voice assistants.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Speaker recognition is one of the important means for identity identification, which has many applications in various AIoT domains, for example, automatic transcription system for multi-person meetings, personalized recommendation by smart voice assistants [170], and audio forensics [171].”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [170]
In the citing paper
“For example, 1) continuous speaker authentication [170] in smart home voice assistants by integrating body-surface vibration signals with speech signal, is related to smart security (Section IV-A);”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [170]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The WEKA data mining software: an update
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1656274.1656278 · Cited by 17,750
Fast Training of Support Vector Machines Using Sequential Minimal Optimization
Platt, J. C. (1998) · The MIT Press eBooks · doi:10.7551/mitpress/1130.003.0016 · Cited by 5,501
Boersma, P. (1993) · Cited by 1,042
Carlini, N., Mishra, P., Vaidya, T., Zhang, Y., Sherr, M., Shields, C., Wagner, D., & Zhou, W. (2016) · USENIX Security Symposium · Cited by 455
Owusu, E., Han, J. Y., Das, S., Perrig, A., & Zhang, J. (2012) · IEEE Workshop on Mobile Computing Systems and Applications (WMCSA) · doi:10.1145/2162081.2162095 · Cited by 370
Xu, Z. J., Bai, K., & Zhu, S. (2012) · ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) · doi:10.1145/2185448.2185465 · Cited by 342
West, R. (2008) · Communications of the ACM · doi:10.1145/1330311.1330320 · Cited by 311
WALNUT: Waging Doubt on the Integrity of MEMS Accelerometers with Acoustic Injection Attacks
Trippel, T., Weisse, O., Xu, W., Honeyman, P., & Fu, K. E. (2017) · IEEE European Symposium on Security and Privacy · doi:10.1109/eurosp.2017.42 · Cited by 291
Marquardt, P., Verma, A., Carter, H., & Traynor, P. (2011) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2046707.2046771 · Cited by 275
Practicality of accelerometer side channels on smartphones
Aviv, A. J., Sapp, B., Blaze, M., & Smith, J. M. (2012) · Annual Computer Security Applications Conference · doi:10.1145/2420950.2420957 · Cited by 230
Research works printed but not linked: 1
- Yuval Ben-Itzhak . 2014. What if smart devices could be hacked with just a voice? http://now.avg.com/voice-hacking-devices/. (Sep . 2014 ). Yuval Ben-Itzhak. 2014. What if smart devices could be hacked with just a voice? http://now.avg.com/voice-hacking-devices/. (Sep. 2014).
Cited by
Sorted by citations
Items 201–292 of 292
BioTouch: Reliable Re-Authentication via Finger Bio-Capacitance and Touching Behavior
Zhang, C., Li, S., Song, Y., Meng, Q., Lu, L., & Hou, M. (2022) · Sensors · doi:10.3390/s22093583 · Cited by 3
Continuous Speaker Authentication when Using Network Administrator Virtual Assistant
Khanbekov, S. I., & Zakharov, A. A. (2023) · International Russian Smart Industry Conference (SmartIndustryCon) · doi:10.1109/smartindustrycon57312.2023.10110730 · Cited by 3
Protecting Voice-Controllable Devices Against Self-Issued Voice Commands
Esposito, S., Sgandurra, D., & Giampaolo Bella, A. (2023) · IEEE European Symposium on Security and Privacy · doi:10.1109/eurosp57164.2023.00019 · Cited by 3
Privacy and Security in the Use of Voice Assistant: An Evaluation of User Awareness and Preferences
Dhiya'Mardhiyyah, A., Latif, J. J. K., & Tho, C. (2023) · International Conference on Information Management and Technology (ICIMTech) · doi:10.1109/icimtech59029.2023.10277724 · Cited by 3
Lee, U. C., Jeon, E.-S., Hur, S., & Han, C. (2024) · Measurement · doi:10.1016/j.measurement.2024.115722 · Cited by 3
Effective Multivariate Voice Liveness Detection System for Internet of Things Security
Fan, X., Sun, J., Deng, X., He, S., Liu, S., Yi, L., Wang, J., & Yang, L. T. (2025) · IEEE Transactions on Networking · doi:10.1109/ton.2025.3553313 · Cited by 3
TouchSense: Accurate and Transparent User Re-authentication via Finger Touching
Zhang, C., Li, S., Song, Y., Lu, L., & Hou, M. (2021) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-73429-9_7 · Cited by 3
Exploiting Physical Presence Sensing to Secure Voice Assistant Systems
Tran, B., Pan, S., Liang, X., & Zhang, H. (2021) · International Conference on Communications · doi:10.1109/icc42927.2021.9500792 · Cited by 3
Wearable Technology Brings Security to Alexa and Siri
Feng, H., Fawaz, K., & Shin, K. G. (2018) · GetMobile Mobile Computing and Communications · doi:10.1145/3229316.3229328 · Cited by 3
Self-citationSecurity, Privacy, and Usability Challenges in Selfie Biometrics
Gofman, M. I., Mitra, S., Bai, Y., & Choi, Y. (2019) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-030-26972-2_16 · Cited by 3
Toward a Privacy Guard for Cloud-Based Home Assistants and IoT Devices
Boukharrou, R., Chaouche, A., & Mahdjar, K. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-67550-9_12 · Cited by 3
On the human evaluation of audio adversarial examplesPreprint
Vadillo, J., & Santana, R. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2001.08444 · Cited by 3
A Continuous Liveness Detection for Voice Authentication on Smart DevicesPreprint
Zhang, L., & Yang, J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.00859 · Cited by 3
Should You Trust Your Voice Assistant? It’s Complicated, but No
Stamatiou, F., & Karakonstantis, X. (2024) · Linköping electronic conference proceedings · doi:10.3384/ecp208015 · Cited by 4
PiezoBud: A Piezo-Aided Secure Earbud with Practical Speaker Authentication
Li, G., Zeng, H., Guo, H., Ren, Y., Dixon, A., Cao, Z., & Li, T. (2024) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/3666025.3699358 · Cited by 2
de Souza, J., Chen, C., Punater, T., Talai, A., Camargo, B. T. S., Rocha, A. C. L., Coca, K. P., & Wang, E. J. (2025) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3719160.3736620 · Cited by 2
Wang, H., Chen, Y.-P., Bista, D., Calvo, R. L., Regmi, N., Zhang, X., Neal, T. J., Ruiz, J., & Anthony, L. (2025) · IEEE Access · doi:10.1109/access.2025.3596512 · Cited by 2
Security Analysis And Feasibility of Smart Entrance System in Smart Home Applications
Rechie, R. M. A., bin Saib, A. F., Mazalan, L., & Yussoff, Y. M. (2021) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v11-i12/12005 · Cited by 2
Speaker Orientation-Aware Privacy Control to Thwart Misactivation of Voice Assistants
Zhang, S., Sabir, A., & Das, A. (2023) · International Conference on Dependable Systems & Networks/Proceedings · doi:10.1109/dsn58367.2023.00061 · Cited by 2
EchoImage: User Authentication on Smart Speakers Using Acoustic Signals
Ren, Y., Xia, Z., Li, S., Liu, H., Chen, Y. J., Li, S., & Li, H. (2023) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs57875.2023.00048 · Cited by 2
Prospects for Voice-Activated Robotic Assistants
Andreev, D. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-37978-9_32 · Cited by 2
BoneAuth: A Bone-Conduction-Based Voice Liveness Authentication for Voice Assistants
Li, Y., Gao, X., Song, Q., Wang, Y., Lyu, P., & Zhang, H. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3494024 · Cited by 2
LiveGuard: Voice Liveness Detection via Wavelet Scattering Transform and Mel Spectrogram Scaling
Shan, L., Zhang, X., Hossen, M. I., & Hei, X. (2025) · International Conference on Dependable Systems & Networks/Proceedings · doi:10.1109/dsn64029.2025.00041 · Cited by 3
Li, Z., Rathore, A. S., Chen, B., Song, C., Yang, Z., & Xu, W. (2019) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/3307334.3326076 · Cited by 2
DTeeth: Teeth-photo Based Human Authentication for Mobile Devices
Pandia, A., Arora, G., Jain, A., Bharadwaj, R., Bhatia, A., & Tiwari, K. (2022) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb54206.2022.10007983 · Cited by 2
AI Based Virtual Personal Assistant
Jacob, A. C., Reji, S. G., Manoj, H., Joseph, J., & Nikhil, M. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24jun1884 · Cited by 2
Manipulating Users’ Trust on Amazon Echo: Compromising Smart Home from Outside
Chen, Y., Yuan, X., Wang, A., Chen, K., Zhang, S., & Huang, H. (2020) · ICST Transactions on Security and Safety · doi:10.4108/eai.13-7-2018.163924 · Cited by 2
Exploiting peer-to-peer communications for query privacy preservation in voice assistant systems
Tran, B., & Liang, X. (2021) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-020-01045-7 · Cited by 2
Active Voice AuthenticationPreprint
Meng, Z., Altaf, M. U. B., Biing-Hwang, & Juang (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.12071 · Cited by 2
Chandrasekaran, V., Banerjee, S., Mutlu, B., & Fawaz, K. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1812.00263 · Cited by 16
Self-citationExploiting Playback Device's Effect on Multi-channel Audio to Secure Voice Assistants
Talukder, M., & Xie, J. L. (2022) · Globecom · doi:10.1109/globecom48099.2022.10000772 · Cited by 1
Lawrence, M., & Wang, Y. (2024) · IEEE International Conference on Electro Information Technology · doi:10.1109/eit60633.2024.10609946 · Cited by 1
TaPIN: Reinforcing PIN Authentication on Smartphones With Tap Biometrics
Lee, J., Kim, I., Oh, S., & Kim, H. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2024.3502902 · Cited by 1
S2Pair: Secure and Simple Device Pairing Using Human Bone as a Key Generator
Wang, Y., Chen, Y., Zhang, H., Lyu, M., & Gu, T. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3729466 · Cited by 1
SegAuth: Semantic-Aware Multimotion Behavioral Biometric-Based Implicit Authentication
Shen, Z., Zhao, C. Y., Zhao, X., Zou, C., & Zhao, J. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3647878 · Cited by 1
EarAuth: Towards Practical Cardiac Vibration Authentication on COTS Wireless Earbuds
Fu, Y., Zhu, W., Wu, Y., Pan, H., Zhao, Y., Wang, G., Zhang, J. C., Li, L., Deng, Y., Zhang, Y., et al. (2026) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom59046.2026.11571272 · Cited by 1
RAISING THE VOICE: EXPLORING ANTECEDENTS OF VOICE-ACTIVATED ASSISTANT USAGE INTENTION
O'Neill, M. M. A. J. (2020) · doi:10.33965/icwi2020_202012c018 · Cited by 1
ACTIVE BEHAVIOURAL BIOMETRIC AUTHENTICATION USING CAT SWARM OPTIMIZATION VARIANTS WITH DEEP LEARNING
Thomas, P. A., & Preetha Mathew, K. (2022) · Indian Journal of Computer Science and Engineering · doi:10.21817/indjcse/2022/v13i3/221303035 · Cited by 1
Phantom-CSI Attacks against Wireless Liveness Detection
He, Q., & Fang, S. (2023) · International Symposium on Research in Attacks, Intrusions and Defenses (RAID) · doi:10.1145/3607199.3607245 · Cited by 1
Biometrics for Continuous Authentication
Smith-Creasey, M. (2023) · SpringerBriefs in computer science · doi:10.1007/978-3-031-49071-2_4 · Cited by 1
Cao, P., Wang, Y., Si, Z., Lyu, P., & Zhang, H. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-71464-1_16 · Cited by 1
A Taxonomy of Measures Against Voice Spoofing Attacks
Esposito, S., Sgandurra, D., Giampaolo Bella, A., & O’Keeffe, D. (2025) · Springer eBooks · doi:10.1007/978-3-031-88145-9_4 · Cited by 1
Using Open Channels to Trigger the Invited, Unintended Consequences of the Internet of Things
Siegel, J. E., & Sarma, S. E. (2019) · IEEE Security & Privacy · doi:10.1109/msec.2019.2901430 · Cited by 1
Personal Virtual Assistant (“DANI”)
Sarwate, M. S., Suryawanshi, H., Borade, R., Farkase, R., Selukar, Y., & Indurkar, G. (2022) · International Journal of Innovations in Engineering and Science · doi:10.46335/ijies.2022.7.8.14 · Cited by 1
DeepTeeth: A Teeth-photo Based Human Authentication System for Mobile and Hand-held DevicesPreprint
Arora, G., Bharadwaj, R., & Tiwari, K. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2107.13217 · Cited by 1
Gupta, S. K. S., Maple, C. R., Crispo, B., Raja, K. B., Yautsiukhin, A., & Martinelli, F. (2022) · doi:10.36227/techrxiv.20115515 · Cited by 1
Studying the Impact of Mood on Identifying Smartphone UsersPreprint
Zanna, K., King, S. L., Neal, T. J., & Canavan, S. J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.11960
Detecção de tentativa de invasão por dados sintéticos em aplicações de biometria por voz
Neto, W., & Figueiredo, C. M. S. (2019) · doi:10.5753/sbcup.2019.6587
Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments.
Fenu, G., Galici, R., & Marras, M. (2020)
A Continuous Liveness Detection System for Text-independent Speaker VerificationPreprint
Zhang, L., & Yang, J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.01840
IEEE Annals of the History Of Computing
(2019) · Computer · doi:10.1109/mc.2019.2906960
Gupta, S., Maple, C. R., Crispo, B., Raja, K. B., Yautsiukhin, A., & Martinelli, F. (2022) · doi:10.36227/techrxiv.20115515.v1
Abordagem de Simulação de Ruídos para Avaliação do Reconhecimento de Locutores em Ambientes Ruidosos
dos Santos, V. A., Fernandes, A. M. D. R., & Parreira, W. D. (2022) · Anais do Computer on the Beach · doi:10.14210/cotb.v13.p259-265
Autenticação não-invasiva para transações financeiras hands-free em locais conectados confiáveis
Hayashi, V. T., & Ruggiero, W. V. (2022) · Simpósio Brasileiro de Cibersegurança (SBSeg) · doi:10.5753/sbseg_estendido.2022.224687
Defending against Thru-barrier Stealthy Voice Attacks via Cross-Domain Sensing on Phoneme Sounds
Shi, C., Zhao, T., Zhang, W., Mahdad, A. T., Ye, Z., Wang, Y., Saxena, N., & Chen, Y. J. (2022) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs54860.2022.00071
Microphone Array Based Passive Liveness Detection at Voice Interface Layer
Meng, Y., Zhu, H., & Shen, X. (2022) · Wireless networks · doi:10.1007/978-3-031-24185-7_5
Wireless Signal Based Two-Factor Authentication at Voice Interface Layer
Meng, Y., Zhu, H., & Shen, X. (2023) · Wireless networks · doi:10.1007/978-3-031-24185-7_4
Meng, Y., Zhu, H., & Shen, X. (2022) · Wireless networks · doi:10.1007/978-3-031-24185-7_1
A Multimodal Activation Detection Model for Wake-Free Robots
Zhang, H., Wang, J., Yang, S., & Sun, Y. (2023) · Communications in computer and information science · doi:10.1007/978-981-99-1354-1_10
Hajji, T., Fihri, A. F., Hassani, I. E., Kassimi, S., & Hajjoubi, C. E. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-43520-1_9
Elmasry, A. (2024) · Al-Mağallah Al-ʿilmiyyaẗ Lil-Maktabāt wa Al-Waṯā'iq wa Al-Ma'lūmāt · doi:10.21608/jslmf.2022.160027.1132
(2024) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets48706
A Literature Survey on Personalized AI-Based Voice Assistant for Authentication
Journal, I. (2023) · International Scientific Journal of Engineering and Management · doi:10.55041/isjem01329
Voice Assistants - Research Landscape
Almirabi, A., Mehandjiev, N., & Sarantopoulos, P. (2024) · Lecture notes in business information processing · doi:10.1007/978-3-031-56478-9_2
Exploring a Secure Device Pairing Using Human Body as a Conductor
Wang, Y., Gu, T., Zhang, Y., Lyu, M., & Li, H. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2024.3406016
Kant, G. S., & Bhushan, K. (2024) · doi:10.1002/9781394205158.ch11
Detection and Suppression of Intentional EMI Attacks to Smart Speakers
Abdullah, A., Musolino, F., & Crovetti, P. S. (2024) · IEEE Transactions on Electromagnetic Compatibility · doi:10.1109/temc.2024.3490953
End-to-End Development of Speech-to-Text Systems for Voice Assistants in Distributed Web Frameworks
Tadi, S. R. C. C. T. (2024) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-19800b
User Authentication on Smart Speakers Leveraging Acoustic Imaging
Ren, Y., Xia, Z., Li, S., Liu, H., Yu, J., Li, S., & Li, H. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3556404
Lombard-VLD: Voice Liveness Detection Based on Human Auditory Feedback
Zhu, H.-L., Sun, Z., Ren, Y., He, K., Yan, Y., Wang, Z., Liu, W., Yang, Y., & Tu, W. (2025) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp61157.2025.00226
An Intelligent Measure Against Self-activation
Esposito, S., Sgandurra, D., Giampaolo Bella, A., & O’Keeffe, D. (2025) · Springer eBooks · doi:10.1007/978-3-031-88145-9_7
Ashibani, Y. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-97992-7_18
Amulet: Integrating Sensitive Information Access with Identity Authentication on Mobile Devices
Liu, D., Feng, Y., Liu, B., Zhang, T., Chen, H., & Cai, M. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3749546
M-Ring: A Lightweight Ring for Gesture Interaction and User Authentication With Multimodal Fusion
Chen, S., Cheng, Y., Tan, Y., Tang, C., Zheng, Q., Zou, Y., Leung, V. C. M., & Wu, K. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3637178
An anomaly detection based approach for continuous authentication with smartwatch inertial sensors
Gholami, A., Alaca, F., & Zulkernine, M. (2025) · Computers & Security · doi:10.1016/j.cose.2025.104656
Ratnaparkhi, A., Helwatkar, K., Sharma, H., Sharma, H., & Hiremath, Y. S. (2025) · International Conference on Emerging Applications of Material Science and Technology (ICEAMST) · doi:10.1109/iceamst67459.2025.11335793
DEMİRAĞ, F. (2026) · Pamukkale University Journal of Social Sciences Institute · doi:10.30794/pausbed.1594403
MagLive: Robust Voice Liveness Detection on Smartphones Using Magnetic Pattern Changes
Sun, X., Chen, J., Wu, C., He, K., Xu, H., Feng, Y., Du, R., & Chen, X. (2026) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2026.3673129
Beyond the Voice: Inertial Sensing of Mouth Motion for High-Security Speech Verification
Ineza, Y., Ullah, D. M. A., Serwadda, A., & Munyaneza, A. (2026) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2026.3678247
Glorioso, S. M., Pappalardo, G., Sorce, S., & Conti, V. (2026) · IEEE International Conference on Semantic Computing (ICSC) · doi:10.1109/icsc67292.2026.00052
OU-CA: A Face–Voice Multimodal Benchmark for Continuous User Authentication
Li, X., Xu, C., & Yagi, Y. (2026) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2026.3690283 · Cited by 2
ZENO - An Intelligent Voice-Based AI Companion
Charanya, P., Prashanth, V., V, Sugisivam, A., P, P. J., Keerthana, N., & Mukesh, R. (2026) · IEEE International Conference on Emerging Computing and Intelligent Technologies (ICoECIT) · doi:10.1109/icoecit68303.2026.11497837
Nagayama, K., Ishikawa, K., Orii, A., Oizumi, S., Amesaka, T., & Shizuki, B. (2026) · Augmented Humans International Conference (AHs) · doi:10.1145/3795011.3797388
Voice Authentication for Secure Mobile Applications Using MFCC and Machine Learning
Tripathi, A., Rathee, V., Manideep, T., Saradhi, Y. P., Mahendra, A., & Sai, S. R. R. (2026) · IEEE International Conference for Convergence in Computing Technology (I3CTCON) · doi:10.1109/i3ctcon68242.2026.11507882
Li, Y., Cheng, Y., Huang, H., Qin, H., & Deng, S. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3701766
Gu, Y., Xu, H., Chen, J., Xu, J., Feng, Y., Jia, J., Wu, C., Li, T., Shen, J., Ma, J., et al. (2026) · Chinese Journal of Electronics · doi:10.23919/cje.2025.00.174
Reliability-Weighted Softmax Fusion for Continuous Multimodal Authentication
Pushpa, P., Varsha, A., & Mahalakshmi, S. (2026) · Journal of Soft Computing Paradigm · doi:10.36548/jscp.2026.3.009
Metadata
- Authors
- Feng, H., Fawaz, K., & Shin, K. G.
- Affiliations
- University of Michigan (US)
- Venue
- Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking
- Publisher
- ACM
- Published
- 2017-10-04
- Pages
- 343-355
- ISSN
- 1543-5679 (ISSN-L)
- OpenAlex
- W2575585029
- Cited by
- 293
- References
- 25
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 31 · 2023: 32 · 2022: 50 · 2021: 47 · 2020: 47 · 2019: 33 · 2018: 19 · 2017: 1
- FWCI
- 21.00
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- ACM Annual International Conference on Mobile Computing and Networking (MobiCom) (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- NSF (CNS-1505785, CNS-1646130)
- Topics
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Keywords
- continuous authentication, voice assistants, wearable devices, speech authentication, replay attacks, impersonation attacks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review