Securing ATM Pins and Passwords Using Fingerprint Based Fuzzy Vault System

Machado, Sweedle; D'silva, Prajyoti; D'mello, Snehal; Solaskar, Supriya; Chaudhari, Priya

doi:10.1109/iccubea.2018.8697794

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…However forging of signatures would become a threat to the user. Sweedle Machado et.al., [10] proposes a system that uses a fuzzy vault system for the security of ATM pins and passwords using a user's fingerprint data. It involves encryption and decryption.…”

Section: IImentioning

confidence: 99%

Survey on Enhanced Cardless Transaction using Biometric ATMs

Geetha¹

2020

IJRASET

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Automated Teller Machines (ATM) are widely used now-a-days by people. These are electronic machines which are operated by customers to deposit or withdraw cash from banks. ATM provides services round the clock and is installed at convenient places including both onsite and offsite. In traditional ATM system card and pin numbers are used for authentication, where security plays a big concern such as losing cards, stolen pin numbers. In order to minimize these issues this paper discusses a system where ATM cards and pins are replaced by biometrics thus the combination of biometrics will be difficult to break the security. This process provides authentication for withdrawal of cash from ATM when the user's fingerprint and face recognition matches the collected datasets. In this system Raspberry pi microcontroller is used in the controlling part. It performs the search operation in the Database and sends necessary information to a display device. Open CV libraries are used for the method of recognition verification and identification of face images. Moreover to improve the efficiency of the system Haar Cascade is used.

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Section: IImentioning

confidence: 99%

Survey on Enhanced Cardless Transaction using Biometric ATMs

Geetha¹

2020

IJRASET

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“…The biometric template is a digital sample of a distinct feature obtained from a biometric trait stored in the database, aimed at authenticating and recognizing an individual [1], [2]. The template is built on something you have (fingerprint, facial, iris and voice) as opposite to something you know, such as passwords or Personal Identification Number (PIN).…”

Section: Introductionmentioning

confidence: 99%

Developing an Algorithm for Securing the Biometric Data Template in the Database

Habibu¹,

Luhanga²,

Sam³

2019

IJACSA

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In the current technology advancement, biometric template provides a dependable solution to the problem of user verification in an identity control system. The template is saved in the database during the enrollment and compared with query information in the verification stage. Serious security and privacy concerns can arise, if raw, unprotected data template is saved in the database. An attacker can hack the template information in the database to gain illicit access. A novel approach of encryption-decryption algorithm utilizing a design pattern of Model View Template (MVT) is developed to secure the biometric data template. The model manages information logically, the view shows the visualization of the data, and the template addresses the data migration into pattern object. The established algorithm is based on the cryptographic module of the Fernet key instance. The Fernet keys are combined to generate a multiFernet key to produce two encrypted files (byte and text file). These files are incorporated with Twilio message and securely preserved in the database. In the event where an attacker tries to access the biometric data template in the database, the system alerts the user and stops the attacker from unauthorized access, and cross-verify the impersonator based on the validation of the ownership. Thus, helps inform the users and the authority of, how secure the individual biometric data template is, and provided a high level of the security pertaining the individual data privacy.

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