Soft Biometrics for Cybersecurity: Ongoing Revolution for Industry 4.0
Abstract
The industrial sector faces significant cyberthreats due to the vast data exchange in Industry 4.0. Soft biometrics offer a suitable tradeoff by enhancing security through additional layers of recognition, mitigating privacy concerns through the collection of nonsensitive information, and improving identification accuracy.
References
[1]
“Businesses at work report 2023.” Okta. [Online]. Available: https://www.okta.com/au/resources/whitepaper-businesses-at-work-2023/
[2]
“The industry report: 2023.” CFO. [Online]. Available: https://www.hidglobal.com/documents/industry-report-2023-state-security-and-identity
[3]
A. Naanani, “Security in industry 4.0: Cyber-attacks and countermeasures,” Turkish J. Comput. Math. Educ., vol. 12, no. 10, pp. 6504–6512, Apr. 2021.
[4]
[5]
Ponemon Institute. [Online]. Available: https://www.ibm.com/downloads/cas/KYRE5ROR
[6]
[7]
A. Dantcheva, P. Elia, and A. Ross, “What else does your biometric data reveal? A survey on soft biometrics,” IEEE Trans. Inf. Forensics Security, vol. 11, no. 3, pp. 441–467, Mar. 2016.
[8]
A. McStay, “Emotional AI, soft biometrics and the surveillance of emotional life: An unusual consensus on privacy,” Big Data Soc., vol. 7, no. 1, Mar. 2020, Art. no. 205395172090438.
[9]
“Analytic approaches to detect insider threats,” Softw. Eng. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA, Dec. 2015. [Online]. Available: https://resources.sei.cmu.edu/library/asset-view.cfm?assetid=451065
[10]
A. Y. Al Hammadi et al., “Novel EEG sensor-based risk framework for the detection of insider threats in safety critical industrial infrastructure,” IEEE Access, vol. 8, pp. 206,222–206,234, Nov. 2020.
[11]
P. Bacevice and A. Ducao, “Use of biometric data and EEG to assess architectural quality of two office spaces: A pilot experiment,” Intell. Buildings Int., vol. 14, no. 4, pp. 433–454, Jul. 2022.
[12]
S. Girdhar, A. K. Yadav, and D. C. Kant, “Improving performance of a face liveness detection system using soft biometrics,” Int. J. Comput. Sci. Commun., vol. 6, no. 2, pp. 9–12, Apr. 2015.
[13]
C. Militello, V. Conti, S. Vitabile, and F. Sorbello, “Embedded access points for trusted data and resources access in HPC systems,” J. Supercomputing, vol. 55, no. 1, pp. 4–27, Jan. 2011.
[14]
S. Gupta, C. Maple, B. Crispo, K. Raja, A. Yautsiukhin, and F. Martinelli, “A survey of human-computer interaction (HCI) and natural habits-based behavioural biometric modalities for user recognition schemes,” Pattern Recognit., vol. 139, Feb. 2023, Art. no. 109453.
[15]
S. Gupta, A. Buriro, and B. Crispo, “Demystifying authentication concepts in smartphones: Ways and types to secure access,” Mobile Inf. Syst., vol. 2018, Mar. 2018, Art. no. 2649598.
[16]
I. Stylios, S. Kokolakis, O. Thanou, and S. Chatzis, “Behavioral biometrics and continuous user authentication on mobile devices: A survey,” Inf. Fusion, vol. 66, pp. 76–99, Feb. 2021.
[17]
L. Dang, K. Min, H. Wang, M. J. Piran, C. Lee, and H. Moon, “Sensor-based and vision-based human activity recognition: A comprehensive survey,” Pattern Recognit., vol. 108, Dec. 2020, Art. no. 107561.
[18]
R. V. Yampolskiy and V. Govindaraju, “Behavioural biometrics: A survey and classification,” Int. J. Biometrics, vol. 1, no. 1, pp. 81–113, Jan. 2008.
[19]
R. Oak, “A literature survey on authentication using Behavioural biometric techniques,” in Proc. 2nd Int. Conf. Intell. Comput. Inf. Commun., 2017, pp. 173–181.
Index Terms
- Soft Biometrics for Cybersecurity: Ongoing Revolution for Industry 4.0
Index terms have been assigned to the content through auto-classification.
Recommendations
Soft biometrics-combining body weight and fat measurements with fingerprint biometrics
The aim of this study was to examine whether using soft biometrics, i.e. easily measurable personal characteristics, such as weight and fat percentage, can improve the performance of biometrics in verification type applications. Fusing fingerprint ...
Multi-factor biometrics for authentication: a false sense of security
MM&Sec '10: Proceedings of the 12th ACM workshop on Multimedia and securityMulti-factor biometric authentications have been proposed recently to strengthen security and/or privacy of biometric systems in addition to enhancing authentication accuracy. An important approach to multi-factor biometric authentication is to apply ...
Group-specific face verification using soft biometrics
Soft biometrics have been recently proposed for improving the verification performance of biometric recognition systems. Examples of soft biometrics are skin, eyes, hair colour, height, and ethnicity. Some of them are often cheaper than ''hard'', ...
Comments
Information & Contributors
Information
Published In
0018-9162 © 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
Publisher
IEEE Computer Society Press
Washington, DC, United States
Publication History
Published: 03 January 2024
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 16 Oct 2024
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in