JomNFC: Zero Effort Intelligent Access System

Atallah, Z.A.; JosephNg, P. S.; Phan, K. Y.

doi:10.1109/i-pact52855.2021.9696932

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Another study [34] presents a smart hotel access system that uses Near Field Communication (NFC) Host-Card Emulation application for authentication. These mechanisms provide more secure and reliable solutions for zero-effort authentication while maintaining user-friendliness.…”

Section: Related Workmentioning

confidence: 99%

Leveraging Machine Learning for Wi-Fi-Based Environmental Continuous Two-Factor Authentication

AlQahtani,

Alshayeb,

Nabil

et al. 2024

IEEE Access

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The traditional two-factor authentication (2FA) methods primarily rely on the user manually entering a code or token during the authentication process. This can be burdensome and time-consuming, particularly for users who must be authenticated frequently. To tackle this challenge, we present a novel 2FA approach replacing the user's input with decisions made by Machine Learning (ML) that continuously verifies the user's identity with zero effort. Our system exploits unique environmental features associated with the user, such as beacon frame characteristics and Received Signal Strength Indicator (RSSI) values from Wi-Fi Access Points (APs). These features are gathered and analyzed in real-time by our ML algorithm to ascertain the user's identity. For enhanced security, our system mandates that the user's two devices (i.e., a login device and a mobile device) be situated within a predetermined proximity before granting access. This precaution ensures that unauthorized users cannot access sensitive information or systems, even with the correct login credentials. Through experimentation, we have demonstrated our system's effectiveness in determining the location of the user's devices based on beacon frame characteristics and RSSI values, achieving an accuracy of 92.4%. Additionally, we conducted comprehensive security analysis experiments to evaluate the proposed 2FA system's resilience against various cyberattacks. Our findings indicate that the system exhibits robustness and reliability in the face of these threats. The scalability, flexibility, and adaptability of our system render it a promising option for organizations and users seeking a secure and convenient authentication system.INDEX TERMS two-factor authentication, machine learning, zero effort, continuous authentication, beacon frames, wireless access points, authentication module, Wi-Fi radio waves, RSSI values, 2FA, ML.

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Section: Related Workmentioning

confidence: 99%

Leveraging Machine Learning for Wi-Fi-Based Environmental Continuous Two-Factor Authentication

AlQahtani,

Alshayeb,

Nabil

et al. 2024

IEEE Access

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“…Security is acknowledged as one of the most vital factors and words in the world for people [1] and it is supposed to be supplied anywhere in various businesses, making it the first concept that should be offered in every location with fulfilment and asset. Furthermore, security is a primary goal in the hotel sector because it is significant in a variety of additional fields, and sectors [2].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Smart NFC Door Access System for Hotel Room

JosephNg,

BrandonChan,

Phan

2023

ASI

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Security remains a top priority for those users in the hotel, even with the advent of innovative technological advances. This is because many tragic incidents, such as theft and crime, have occurred with unrestricted access. This paper proposes an intelligent door access system that would allow hotel guests to authenticate into their rooms without resorting to traditional closeness access methods. Therefore, research was conducted to solidify the understanding and refine the capabilities of the proposed system. This project aims to promote high-security aspects access system technology, which is Near-Field Communication with the use of application that have the function of simulated smart keys for explicit validation access. A Host-Card Emulator opens the opportunities for efficient financial benefit and the launch of a protective mechanism in the post-pandemic period. The suggested method was statistically and analytically accessed on hotel guests and staff from various hotels in Malaysia. The proposed system is a contactless NFC access control system that employs smartphone Host Card Emulation application technology to reduce the need for appropriate physical access, enhance security, and publicize the use of mobile access systems in the hospitality industry.

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JomNFC: Zero Effort Intelligent Access System

Cited by 2 publications

References 17 publications

Leveraging Machine Learning for Wi-Fi-Based Environmental Continuous Two-Factor Authentication

Leveraging Machine Learning for Wi-Fi-Based Environmental Continuous Two-Factor Authentication

Implementation of Smart NFC Door Access System for Hotel Room

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