Intelligent Door Entry: RFID-Based Authentication with Pin and Keystroke Profiling

DOI

10.2991/978-94-6463-858-5_127How to use a DOI?

Keywords

Multi-Factor Authentication; Access Control; Keystroke Dynamics; RFID Security; Arduino UNO; PIN Authentication

Abstract

RFID technology is now an integral part of most industries including healthcare, supply chain management, and security systems, providing effective asset tracking and real-time data management. While RFID technology is widely utilized, current RFID systems are susceptible to critical security threats like unauthorized access, data eavesdropping, and cloning attacks. For defending against these attacks, in this paper, a multi-factor RFID-based door entry system with PIN authentication and keystroke profiling is proposed for increased security. Existing systems consists of RFID-based access control, including Arduino-based systems, GSM-based locks, and gesture-based systems. Even though these systems are robust and convenient to use, they are not robust against advanced attacks like brute force attacks or behavioural anomalies. The proposed system presented in this paper closes these loopholes by employing multiple layers of authentication, offering a better choice for secure access control in residential and commercial settings. This system integrates RFID tags, tailored PINs, and behavioural biometry using keystroke dynamics to eliminate threats of weak PINs and single-factor authentication. Using a Multilayer Perceptron (MLP) algorithm to analyse keystrokes, the system provides maximum accuracy in authenticating legitimate users and distinguishing them from attackers on the basis of typing routines. Compared to current systems—e.g., gesture-based or GSM-based locks—the solution provides greater security while maintaining ease of use. This methodology enhances security features but also provides a simple and expandable structure for future advancements in intelligent access control technologies.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Vedashree Shetye
AU  - Aashridha Shetty
AU  - Tanisha Shetty
AU  - Krishna Samdani
PY  - 2025
DA  - 2025/11/04
TI  - Intelligent Door Entry: RFID-Based Authentication with Pin and Keystroke Profiling
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1555
EP  - 1570
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_127
DO  - 10.2991/978-94-6463-858-5_127
ID  - Shetye2025
ER  -