Gotowe bibliografie tematyczne / Biometric Vehicle Security

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Gotowa bibliografia na temat „Biometric Vehicle Security”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Biometric Vehicle Security"

More, Mr Yuvraj Navnath. "Automated Vehicle Parking with Security System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem49257.

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Abstract - As urban populations continue to rise, the demand for parking spaces has become increasingly critical. Traditional parking systems often fail to meet this demand, leading to congestion, wasted time, and increased frustration for drivers. The integration of technology in parking systems can significantly enhance their efficiency, safety, and user experience. The Smart Car Parking System with Security aims to address these challenges by leveraging advanced sensors, automated mechanisms, and biometric authentication. Key Words: automated vehicle parking, security, biometric sensor, mul

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Pani, M. Srujan, K. Manideep, R. Rakesh, T. Swapna, and Dr S. N. Chandrashekhar. "Biometric Vehicle Ignition System." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (2022): 385–89. http://dx.doi.org/10.22214/ijraset.2022.46160.

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Abstract: The project's purpose is to develop a smart ignition security system. A fingerprint sensor is used for motorcycle access in the proposed system, and a relay will be used for controlling ignition. The fingerprint sensor is a dependable fingerprint sensor that collects accurate fingerprint data. For added convenience and security, it's designed to fit inside electrical devices. The device, which is secure, fast, and easy to use, replaces credentials, PINs, and other types of user authentication. The system's principal controlling device is a microcontroller. A fingerprints sensor, a re

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Sundararajan, Sai Nithish. "BIOMETRIC AND RFID BASED VEHICLE SECURITY SYSTEM." International Journal of Engineering Applied Sciences and Technology 6, no. 9 (2022): 108–10. http://dx.doi.org/10.33564/ijeast.2022.v06i09.013.

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Vehicle thefts has been an area of concern in the recent years. Especially the count of car thefts has taken a massive leap in the previous years. This proposed project deals with this issue in a more preferable way and ensures the safety of the vehicle. This system aims to create a simple biometric security system that protects the vehicle from unauthorized users. This system comprises of Arduino Nano along with EM18 RFID (Radio Frequceny Identification) and R305 Fingerprint sensor. The RFID module checks for the validity of the RFID tag code and permits to proceed further. Proceeding further

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Raiyn, Jamal. "Data and Cyber Security in Autonomous Vehicle Networks." Transport and Telecommunication Journal 19, no. 4 (2018): 325–34. http://dx.doi.org/10.2478/ttj-2018-0027.

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Abstract An autonomous vehicle (AV) is a vehicle that operates and performs tasks under its own power. Some features of autonomous vehicle are sensing the environment, collecting information and managing communication with other vehicles. Many autonomous vehicles in development use a combination of cameras, sensors, GPS, radar, LiDAR, and on-board computers. These technologies work together to map the vehicle’s position and its proximity to everything around it. Because of their reliance on these sorts of technologies, which are easily accessible to tampering, a autonomous vehicles are suscept

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Yazdhaan, Ibrahim, Sivakumar Thankaraj Ambujam, and Nafeena Abdul Munaf. "Design of Smart Vehicle Security System Using Finger Print Authentication with Integrated GSM and GPS Modules." Applied Mechanics and Materials 926 (April 23, 2025): 61–69. https://doi.org/10.4028/p-besil6.

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Vehicle theft is a major issue, underscoring the shortcomings of conventional security systems that frequently depend on expensive and sophisticated sensors. In order to solve this problem, a smart car security system that combines GPS and GSM technology with biometric fingerprint authentication on an affordable Arduino-based platform is created. The main goal is to improve car security by using fingerprint recognition, which uses distinct and difficult-to-copy biometric data, to guarantee that only authorized individuals may access the vehicle. The technology offers a high degree of security

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Mehta, Shivesh. "Vehicle Anti-Theft System Using Fingerprint & Passcode with Speed Control and Obstacle Detection." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 1840–45. http://dx.doi.org/10.22214/ijraset.2024.61914.

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Abstract: This review paper explores the integration of a comprehensive vehicle anti-theft system, combining fingerprint and passcode authentication with speed control and obstacle detection. The rising concern of vehicle hijacking and theft emphasizes the need for enhanced security measures within the automotive industry. Leveraging biometric systems, known for their effectiveness in diverse applications, proves to be a promising solution. Biometric systems utilize unique biological traits to identify individuals, employing algorithms to ensure accurate user identification. In this suggested

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IJRAME, Journal. "Vehicle unlocking system using Key Fob with Fingerprint." International Journal of Research in Aeronautical and Mechanical Engineering 13, no. 5 (2025): 34–45. https://doi.org/10.5281/zenodo.15496160.

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The goal of this project is to replace or enhance traditional key remote locking systems with biometric authentication to ensure that only authorized users can access and unlock the vehicle. By integrating a fingerprint sensor into the car key fob, this system will provide a higher level of security. The fingerprint sensor will scan the fingerprint of the user, and the system will authenticate the fingerprint by comparing it with pre-stored authorized patterns in a database. If the scanned fingerprint matches an authorized user's fingerprint, a signal will be sent to the vehicle's locking syst

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Akshay, V. Balki* Ankit A. Ramteke Akshay Dhankar Prof. Nilesh S. Panchbudhe. "SMART SECURITY SYSTEM FOR CARS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 4 (2017): 162–67. https://doi.org/10.5281/zenodo.496121.

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This propose work is an attempt to model design an smart advance vehicle security system that uses biometric scanner and RFID card reader to give ignition pulse using two main module and to prevent theft. The system contains biometric scanner, RFID card reader, alcohol sensor, vibration sensor, GSM module, microcontroller (8051), relay switch, high voltage mesh..The safety of car is exceptionally essential. It provides pulse to ignition system by synchronizing driver’s data from license and thumb print using microcontroller.

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JogeswaraRao, Dr B., and J. varsha. "Fingerprint Sensor-Based Vehicle Starter Using Arduino." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44527.

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Vehicle security is a growing concern, with traditional key-based ignition systems being susceptible to theft, duplication, and unauthorized access. This paper proposes a biometric-based vehicle ignition system using fingerprint authentication to ensure that only authorized individuals can start the vehicle. The system is developed using an Arduino Uno microcontroller, an R307 fingerprint sensor, five push buttons for fingerprint management, an I2C LCD display, an L298N motor driver, and a DC motor to simulate vehicle ignition. The integration of biometric security eliminates the risk of key d

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Narsaiah, M. N., Gangalam Lasya, Kondamudi Veronica, et al. "Fingerprint Recognition for Future ATM Security." E3S Web of Conferences 430 (2023): 01167. http://dx.doi.org/10.1051/e3sconf/202343001167.

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Today, it is typical to need to identify and validate a person in order to use a safe box, operate a vehicle, access a bank account via an ATM, or carry out other operations that call for the protection of personal information. The accuracy and dependability of traditional methods, such as ID card verification or signature, are lacking. The systems in use at these places must be rapid and dependable. The usage of ATMs, which allow users to conveniently exchange banknotes, is now met with a new challenge: guaranteeing that users can maintain a valid identification. Customers are experiencing fi

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Rozprawy doktorskie na temat "Biometric Vehicle Security"

Björk, Hanna, and Andreas Hagemann. "To start this vehicle, please verify yourself : Security and privacy, where shall we draw the line?" Thesis, Linköping University, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4810.

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Different security issues are a top subject around the world, especially since the terror threats seem to intensify. In the same time, the transport industry suffer from problems with smuggling and theft of valuable goods. One way to increase the security might be to have a verification system installed in commercial trucks, in order to assure that the driver is the proper one.This thesis has two purposes. One is to find appropriate methods for driver verification and build a prototype of a verification system which can be used for testing and further development. The other is to st

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Chawan, Akshay. "Security Enhancement of Over-The-Air Update for Connected Vehicles." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1533246722910754.

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Meharia, Pallavi. "Secure Trust Establishment in an Internet of Things Framework." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479818898487158.

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"An intelligent vehicle security system based on human behaviors modeling." 2006. http://library.cuhk.edu.hk/record=b5892893.

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by Meng Xiaoning. Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. Includes bibliographical references (leaves 99-106). Abstracts in English and Chinese. Chapter 1 --- Introduction --- p.1 Chapter 1.1 --- Motivation --- p.1 Chapter 1.2 --- Overview --- p.2 Chapter 1.3 --- Organization of the Thesis --- p.3 Chapter 2 --- Related Research --- p.6 Chapter 2.1 --- Information Technology in Cars --- p.6 Chapter 2.2 --- Anti-theft Protection --- p.8 Chapter 2.3 --- Learning Human Behaviors --- p.10 Chapter 2.4 --- Neural Network Learning --- p.11<

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Części książek na temat "Biometric Vehicle Security"

Daimi, Kevin, Noha Hazzazi, and Mustafa Saed. "Using Multimodal Biometrics to Secure Vehicles." In Advances in Security, Networks, and Internet of Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71017-0_41.

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Dhande, Kunal Ramesh. "Fourth Industrial Revolution and the Role of Cyber Security." In Advances in Hospitality, Tourism, and the Services Industry. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2715-9.ch013.

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The Fourth Industrial Revolution is reshaping travel and tourism with IoT, AI, and biometrics, enriching tourist experiences through enhanced vehicle technologies. However, heightened vehicle connectivity poses cybersecurity risks, endangering traveler safety and privacy. Effective cybersecurity strategies are essential to secure vehicle systems and sensitive data, ensuring a trustworthy tourism environment. Protection focuses on digital assets, personal information, and critical infrastructure like booking platforms and transport services. As cars integrate advanced infotainment, safeguarding

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Hu, Margaret. "Militarized Biometric Data Colonialism." In Race and National Security. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/oso/9780197754641.003.0008.

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Abstract This chapter contends that the unprecedented collection of biometric data of the Afghan people by and under the direction of the United States from 2001 to 2021 transformed into both a method for data colonization and resource extraction, as well as a vehicle for surveillance capitalism. The U.S. military scanned fingerprints, facial recognition images, DNA, and other biometric identifiers of the Afghan population for almost two decades. Biometric data eventually formed the cornerstone of the Afghan government’s “identity management” strategy, used for identity cards, election securit

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V, Danish. "THE EVOLUTION OF THE AUTOMATED CAR DASHBOARD." In Futuristic Trends in Mechanical Engineering Volume 3 Book 7. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bfme7p6ch1.

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This chapter explores the progression of automotive dashboards into automated interfaces, from basic information panels to interactive platforms. It describes the historical backdrop of classic dashboards, which delivered critical vehicle data via conventional gauges and dials. With the growth of automation and connection came an era of change, bringing in information technology systems with entertainment, navigation, and communication options. Touch screens and smart phone connectivity improved the driving experience even further. The chapter then goes into today's scenario, where automation

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Surapaneni, Praneetha, Sailaja Chigurupati, and Sriramulu Bojjagani. "BITS-AV Biometric Integration for Secure Transport Systems in Autonomous Vehicles." In Advances in Information Security, Privacy, and Ethics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-8014-7.ch018.

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Autonomous vehicles (AVs) play a significant role in intelligent transportation systems (ITS), which handle vehicles without human interference. The AVs are integrated with the Internet of Vehicles (IoV) to connect with more vehicles, sensors, and fog servers and share data. This makes the vehicles vulnerable to attacks and leads to unauthorized access. To overcome this drawback, we introduced biometric authentication for secure communication of vehicles, roadside units (RSUs), and fog servers. In this protocol, we generated two session keys between entities. The communication cost, computatio

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Streszczenia konferencji na temat "Biometric Vehicle Security"

Teradal, Rahul J., Sakshi J. Chougule, Sanika N. Chopade, Abhishek B. Chougule, Virupaxi Dalal, and Samiksha S. Atiwadkar. "Comprehensive IoT-Based Vehicle Security: License Verification and Biometric Authentication." In 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). IEEE, 2025. https://doi.org/10.1109/icmcsi64620.2025.10883395.

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Umamaheswari, S., A. G. Mohandas Gandhi, and V.Jagannath. "Biometric and IoT-based Vehicle Security Systems: Advancements and Applications." In 2025 3rd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). IEEE, 2025. https://doi.org/10.1109/icaeca63854.2025.11012256.

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Coulibaly, Lasseni, Damien Hanyurwimfura, Evariste Twahirwa, and Abubakar Diwani. "A Lightweight Biometric-based User Authentication Protocol for Self-driving Vehicles." In 2024 1st International Conference on Cyber Security and Computing (CyberComp). IEEE, 2024. https://doi.org/10.1109/cybercomp60759.2024.10913668.

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Aslan, Emre Can, Kyle Naddeo, Taha Bouhsine, Robi Polikar, and Gregory Ditzler. "A Curriculum Learning Framework to Boost Object Detection of Unmanned Aerial Vehicles." In 2025 IEEE Symposium on Computational Intelligence in Security, Defence and Biometrics (CISDB). IEEE, 2025. https://doi.org/10.1109/cisdb64969.2025.11010781.

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Almomani, Hanay, Ayoub Alsarhan, Mahmoud AlJamal, et al. "Securing Internet of Vehicles IoV Communications: A Biometric and Hash-Key Derivation Function HKDF-Based Approach." In 2024 25th International Arab Conference on Information Technology (ACIT). IEEE, 2024. https://doi.org/10.1109/acit62805.2024.10877191.

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Sturgess, Jack, Sebastian Köhler, Simon Birnbach, and Ivan Martinovic. "CableAuth: A Biometric Second Factor Authentication Scheme for Electric Vehicle Charging." In Inaugural International Symposium on Vehicle Security & Privacy. Internet Society, 2023. http://dx.doi.org/10.14722/vehiclesec.2023.23041.

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Ramesh, Mridhula, S. Akruthi, K. Nandhini, S. Meena, S. Joseph Gladwin, and R. Rajavel. "Implementation of Vehicle Security System using GPS,GSM and Biometric." In 2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE). IEEE, 2019. http://dx.doi.org/10.1109/witconece48374.2019.9092918.

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Raj, Marey Jemima, Sajitha Gadde, and Ramesh Jayaraman. "Implementation of Biometric Access Control Using Fingerprint for Safety and Security System of Electric Vehicle." In 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2021. http://dx.doi.org/10.1109/icosec51865.2021.9591718.

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Manjula, B. M., Nitin Shreepad Kolekar, Sakshi Priya, and Raktim Banerjee. "Cloud-Based Biometric Security System for Smart Vehicles." In 2024 Second International Conference on Data Science and Information System (ICDSIS). IEEE, 2024. http://dx.doi.org/10.1109/icdsis61070.2024.10594457.

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Karimian, Nima. "How to attack PPG biometric using adversarial machine learning." In Autonomous Systems: Sensors, Processing and Security for Vehicles & Infrastructure 2019, edited by Michael C. Dudzik and Jennifer C. Ricklin. SPIE, 2019. http://dx.doi.org/10.1117/12.2518828.

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Raporty organizacyjne na temat "Biometric Vehicle Security"

Eastman, Brittany. Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights. SAE International, 2022. http://dx.doi.org/10.4271/epr2022016.

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Facial recognition software (FRS) is a form of biometric security that detects a face, analyzes it, converts it to data, and then matches it with images in a database. This technology is currently being used in vehicles for safety and convenience features, such as detecting driver fatigue, ensuring ride share drivers are wearing a face covering, or unlocking the vehicle. Public transportation hubs can also use FRS to identify missing persons, intercept domestic terrorism, deter theft, and achieve other security initiatives. However, biometric data is sensitive and there are numerous remaining

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