Syed Touseef Ali,
- Research Student, Department of Mechanical Engineering, Bheemanna Khandre Institute of Technology, Bhalki, Bidar, Karnataka, India
Abstract
Concerns about security are rising as a result of the quick development of automobile technology and the rise in car theft and illegal entry. Both contemporary smart key solutions and older key-based systems have flaws that call for stronger security measures. By utilizing distinct physiological and behavioral characteristics, biometric authentication offers a novel way to improve vehicle security. Vehicles can provide tailored and extremely secure access control systems by combining behavioral biometrics, voice recognition, iris scanning, fingerprint recognition, and face recognition. This study addresses the integration of biometric systems in car security, examining major technologies, benefits, problems, and potential next steps. Additionally, we examine whether biometric technologies reduce the dangers of identity theft, auto theft, and cyberattacks while ensuring a flawless user experience. The study also explores technological, ethical, and regulatory issues, highlighting the need of cost-effectiveness, system dependability, and data privacy for broad adoption. Biometric authentication is set to become a key component of next-generation vehicle security as the car industry embraces digital transformation. The use and efficacy of bio-lock locking mechanisms in contemporary automobiles as a novel approach to automotive security issues are examined in this study. In comparison to conventional safety equipment, the study shows a 97.3% decrease in successful theft attempts using empirical data from 2,500 cars with bio-lock systems spread across 15 nations. A mixed-methods approach blends qualitative insights from end users and industry experts with quantitative analysis of breach data. Since bio-lock systems greatly improve car security, issues including financial constraints, privacy issues, and technological restrictions need to be resolved for wider deployment. This research makes useful suggestions for the car industry and enhances the expanding topic of automotive security.
Keywords: Automotive biometric security, vehicle authentication systems, bio-lock technology, automotive cybersecurity, biometric vehicle access, smart vehicle security, advanced driver authentication, automotive security innovation
[This article belongs to Trends in Machine design ]
Syed Touseef Ali. Biometric Revolution in Automotive Security: Advancing Vehicle Protection Through Bio-Authentication Systems. Trends in Machine design. 2025; 12(01):12-19.
Syed Touseef Ali. Biometric Revolution in Automotive Security: Advancing Vehicle Protection Through Bio-Authentication Systems. Trends in Machine design. 2025; 12(01):12-19. Available from: https://journals.stmjournals.com/tmd/article=2025/view=209174
References
- Cybersecurity Best Practices for Modern Vehicles. US National Highway Traffic Safety Administration DOT HS 812 333. 2016 Oct.
- Freschi F, Mitolo M, Tommasini Electrical safety of electric vehicles. 2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I). 2017; 1–5.
- Vijayakumar Synthesis of Palm Print in Feature Fusion Techniques for Multimodal Biometric Recognition System Online Signature. Journal of Innovative Image Processing (JIIP). 2021 Jul; 3(02): 131–143. [online] Available: https://doi.org/10.36548/jiip.2021.2.005.
- Aishwarya Karra, Bhuvana Kondi, Ramesh Jayaraman. Implementation of Wireless Communication to Transfer Temperature and Humidity Monitoring Data using Arduino Uno. Proc 9th IEEE International Conference on Communication and Signal Processing (ICCSP’20). 2020 Sep; 1101–1105.
- Sun Z, Balakrishnan S, Su L, Bhuyan A, Wang P, Qiao Who Is in Control? Practical Physical Layer Attack and Defense for mmWave-Based Sensing in Autonomous Vehicles. IEEE Trans Inf Forensics Secur. 2021; 16: 3199–3214.
- Dehkordi SG, Cholette ME, Larue GS, Rakotonirainy A, Glaser Energy Efficient and Safe Control Strategy for Electric Vehicles Including Driver Preference. IEEE Access. 2021; 9: 11109–11122.
- Ramesh Jayaraman, Aruldoss Albert Victoire T. An Adaptive Hysteresis Band Current Controller Based DSTATCOM for Enhancement of Power Quality with Various Load. Int Rev Model Simul. 2013; 6(06): 1814–1820.
- Zhang K, Yin Z, Yang X, Yan Z, Huang Quantitative assessment of electric safety protection for electric vehicle charging equipment. 2017 International Conference on Circuits Devices and Systems (ICCDS). 2017; 89–94.
- Awad AI, Hassanien A Impact of Some Biometric Modalities on Forensic Science. In Computational Intelligence in Digital Forensics: Forensic Investigation and Applications. Berlin, Germany: Springer; 2014; 47–62.
- Tipton SJ, White DJ II, Sershon C, Choi Y iOS security and privacy: Authentication methods, permissions, and potential pitfalls with touch id. Int J Comput Inf Technol. 2014; 3(3): 482–489.

Trends in Machine design
Volume | 12 |
Issue | 01 |
Received | 02/01/2025 |
Accepted | 15/02/2025 |
Published | 25/02/2025 |
Publication Time | 54 Days |