Cam-Wallet: Fingerprint-based authentication in M-wallets using embedded cameras

Okpara, Obinna Stanley; Bekaroo, Girish

doi:10.1109/eeeic.2017.7977654

Cited by 20 publications

(24 citation statements)

References 11 publications

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“…Impersonation attacks: An attacker can assume the identity of a legitimate mobile money user or agent, access the financial details of a registered user, and perform fraudulent transactions. There are 14 authentication protocols [56,[66][67][68][69][70]72,77,81,87,88,102,103,105] to prevent impersonation attacks. The schemes in [81,105] employed fingerprint biometrics.…”

Section: Resultsmentioning

confidence: 99%

“…There are 14 authentication protocols [56,[66][67][68][69][70]72,77,81,87,88,102,103,105] to prevent impersonation attacks. The schemes in [81,105] employed fingerprint biometrics. Bojjagani and Sastry [66], Ray, Biswas, and Dasgupta [68], and Shilpa and Panchami [69] used elliptic curve cryptosystems.…”

Section: Resultsmentioning

confidence: 99%

“…Examples of physiological biometrics used in mobile money authentication include fingerprint recognition, face recognition, iris recognition, and retina recognition. Islam [85], Mtaho [52], Ahsan et al [104], Fan et al [88], Okpara and Bekaroo [105], Sharma and Mathuria [81] used fingerprint recognition in mobile money authentication to offer security against identity theft, shoulder surfing attack, replay attack, impersonation attack, and counterfeit, and it was responsible for privacy protection. The scheme in [90] used facial recognition in authentication to increase the security and reliability of mobile banking systems.…”

mentioning

confidence: 99%

“…The authentication schemes in [80,86] used voice recognition to increase efficiency, convenience, and security, as well as to resist impersonation attack. [52,81,85,88,104,105] Facial recognition [90] Iris recognition [89] Retina recognition [68] Voice recognition [80,86]…”

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confidence: 99%

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Two-Factor Authentication Scheme for Mobile Money: A Review of Threat Models and Countermeasures

2020

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The proliferation of digital financial innovations like mobile money has led to the rise in mobile subscriptions and transactions. It has also increased the security challenges associated with the current two-factor authentication (2FA) scheme for mobile money due to the high demand. This review paper aims to determine the threat models in the 2FA scheme for mobile money. It also intends to identify the countermeasures to overcome the threat models. A comprehensive literature search was conducted from the Google Scholar and other leading scientific databases such as IEEE Xplore, MDPI, Emerald Insight, Hindawi, ACM, Elsevier, Springer, and Specific and International Journals, where 97 papers were reviewed that focused on the topic. Descriptive research papers and studies related to the theme were selected. Three reviewers extracted information independently on authentication, mobile money system architecture, mobile money access, the authentication scheme for mobile money, various attacks on the mobile money system (MMS), threat models in the 2FA scheme for mobile money, and countermeasures. Through literature analysis, it was found that the threat models in the 2FA scheme for mobile money were categorised into five, namely, attacks against privacy, attacks against authentication, attacks against confidentiality, attacks against integrity, and attacks against availability. The countermeasures include use of cryptographic functions (e.g., asymmetric encryption function, symmetric encryption function, and hash function) and personal identification (e.g., number-based and biometric-based countermeasures). This review study reveals that the current 2FA scheme for mobile money has security gaps that need to be addressed since it only uses a personal identification number (PIN) and a subscriber identity module (SIM) to authenticate users, which are susceptible to attacks. This work, therefore, will help mobile money service providers (MMSPs), decision-makers, and governments that wish to improve their current 2FA scheme for mobile money.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Two-Factor Authentication Scheme for Mobile Money: A Review of Threat Models and Countermeasures

2020

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“…The same method is used if the user wants to purchase his home PC by using specialized hardware connected with PC. A secure online shopping mechanism which uses a credit card and biometric information of buyer is presented in [9]. This mechanism uses a special storage device provided to the user from card issuer.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Mobile Wallet Model for Elderly Using Fingerprint as Authentication Factor

et al. 2020

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Due to the availability of fingerprint verification technology on mobile devices fingerprint based human identification has become the most widely used biometric technology in everyday life. The elderly find digital payment applications difficult to operate and unsecure. This work has exploited fingerprint verification availability on mobile devices to provide a user friendly and secure digital wallet payment facility to elderly who are unable to avail this facility due to the complex infrastructure of traditional authentication mechanisms. A novel digital payment mechanism is presented which uses Bluetooth technology of mobile devices for billing at the point of sale and fingerprint verification for user authentication. A proof of the concept study is presented to validate the proposed model using state of the art usability questionnaires and attributes with the target group. The result indicates that the proposed methodology provides satisfaction and ease of use to the user.

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A Systematic Review of User Authentication Security in Electronic Payment System

Hassan

Shukur

2023

Proceedings of International Conference on Data Science and Applications

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Cam-Wallet: Fingerprint-based authentication in M-wallets using embedded cameras

Cited by 20 publications

References 11 publications

Two-Factor Authentication Scheme for Mobile Money: A Review of Threat Models and Countermeasures

Two-Factor Authentication Scheme for Mobile Money: A Review of Threat Models and Countermeasures

A Novel Mobile Wallet Model for Elderly Using Fingerprint as Authentication Factor

A Systematic Review of User Authentication Security in Electronic Payment System

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