Security in smart cities: A brief review of digital forensic schemes for biometric data
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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].
“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 [171]
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Cites
A Style-Based Generator Architecture for Generative Adversarial Networks
Karras, T., Laine, S., & Aila, T. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00453 · Cited by 11,714 · see citing works
Deepfakes and beyond: A Survey of face manipulation and fake detection
Tolosana, R., Vera-Rodriguez, R., Fierrez, J., Morales, A., & Ortega-Garcia, J. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.06.014 · Cited by 1,237 · see citing works
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
Jiang, L., Li, R., Wu, W., Qian, C., & Loy, C. C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00296 · Cited by 599 · see citing works
Smarter cities and their innovation challenges
Naphade, M., Banavar, G., Harrison, C., Paraszczak, J., & Morris, R. (2011) · Computer · doi:10.1109/mc.2011.187 · Cited by 567 · cited 1× · see citing works
“These smart services are usually provided through a network of smart devices, driven by a large number of complex human (user) and machine (device) interac-∗ tions [5,6] (see Fig.”
BackgroundA comparison of features for synthetic speech detection
Sahidullah, M., Kinnunen, T., & Hanilçi, C. (2015) · Interspeech 2015 · doi:10.21437/interspeech.2015-472 · Cited by 382 · see citing works
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Zhang, J., & Tao, D. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3039359 · Cited by 774 · see citing works
- Authors
- Ross, A., Banerjee, S., & Chowdhury, A.
- Affiliations
- Michigan State University (US)
- Corresponding author
- Banerjee, Sudipta
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 138
- Pages
- 346-354
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W3041855661
- Cited by
- 85
- References
- 5
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 11 · 2023: 23 · 2022: 21 · 2021: 14 · 2020: 3
- FWCI
- 5.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pattern Recognition Letters (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
- Physical Sciences › Computer Science › Information Systems › Digital and Cyber Forensics
- Keywords
- smart cities, digital forensics, biometric data, biometric authentication, biometric spoofing, face biometrics, fingerprint biometrics, voice biometrics, Internet of Things, data integrity verification, social media
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