Multi-Layered Multimodal Biometric Authentication for Smartphone Devices

Memon, Qurban A.

doi:10.3991/ijim.v14i15.15825

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…There were some studies excluded from this review [48 -52] as they did not focus on types of authentication methods as a safety practice for information security. Of the 28 articles reviewed, 13 were based in India [20 -26], [30], [34 -37], [42]; four were from China [32], [33], [38], [44]; two from Saudi Arabia [18], [19] one from Poland [27]; one from the Czech Republic [31]; one from the United Arab Emirates [28]; one from Turkey [43]; one from Ukraine [40]; 1 from Jordan [17]; and one each from Zambia [29]; Philippines [39]; and the United States [41] (as shown in Figure 2).…”

Section: Resultsmentioning

confidence: 99%

“…People usually speak faster than they write; hence, voice authentication can be considered a time-preserving method. Memon [28] proposed a multifactor biometric authentication including fingerprint, face, and voice for smartphone users. He found that this biometric used in smartphones is more robust and secure compared with singlelayered biometric.…”

Section: ) Fingerprint Authenticationmentioning

confidence: 99%

“…7) Digital signature authentication: Digital signature is a behavioral biometric which has high acceptance rate and ease in data collection [28]. Digital signature is less cumbersome compared with handwritten signature.…”

Section: ) Fingerprint Authenticationmentioning

confidence: 99%

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A Systematic Literature Review of the Types of Authentication Safety Practices among Internet Users

Kovalan¹,

Omar²,

Tang³

et al. 2021

IJACSA

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The authentication system is one of the most important methods for maintaining information security in smart devices. There are many authentication methods, such as password authentication, biometric authentication, signature authentication, and so on, to protect cloud users' data. However, online information is not yet effectively authenticated. The purpose of this systematic literature review is to examine the current types of authentication methods as a safety practices for information security among Internet users. The PRISMA method was adopted to present a systematic literature review of 28 articles from three main databases (20 articles from Scopus, one article from Google Scholar, and seven articles from Dimension). This study used the Prediction Study Risk of Bias Assessment Tool to appraise the quality of the included studies. From the findings of the study, a total of three main themes were identified: password authentication, biometric authentication, and multiple-factor authentication. Multiple-factor authentication was found to be the most secure and most frequently recommended authentication method. It is highly recommended to implement three-factor authentication and multi-biometric model in the future, as it provides a higher surveillance level in terms of information security among cloud computing users.

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Section: Resultsmentioning

confidence: 99%

Section: ) Fingerprint Authenticationmentioning

confidence: 99%

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A Systematic Literature Review of the Types of Authentication Safety Practices among Internet Users

Kovalan¹,

Omar²,

Tang³

et al. 2021

IJACSA

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show abstract

“…Qurban A. Memon (2020) [16] had proposed a diverse multimodal biometric approach utilizing three biometric strategies (finger impression, face, and voice) for cell phones. shown that the combination of biometric techniques can be layered to authorize private information security on a cell phone.…”

Section: Related Workmentioning

confidence: 99%

Design A Multi Biometric System for Safe Access to Buildings

Rahma

Hassan²,

Hamandi³

2021

Al-Qadisiyah Journal of Pure Science

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Designing a multi-biometric system for safe access to buildings is a very critical process because this system will act as an alternative of humans in observation, and must make smart decisions to protect the building from any intruder depending on the biometric information of the entering persons. In this paper a full design of a proposed multi-biometric system will be presented, two sensors are used (Visible and Thermal). the proposed system consists of several subsystems The first is the construction of a database that contains all the photos and information about each person who belongs to the building, the central system using visible and thermal cameras, and the peripheral system using visible cameras only. The central system is capable of remotely identifying and ensure of the health condition (Temperature, Heart Rate, Respiration Rate) of each entering person which is a very important process, especially with the COVID-19 pandemic. The peripheral system monitors any suspicious issue like crowed or walking outside allowed lines.

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“…The devices that are becoming increasingly important are personal computers and smartphones, which open to a vast amount of important personal data. For example Memon describes in [15] a multi-biometric access control of smartphones using the combination of three biometrics, namely fingerprints, face and voice. The fusion of the three biometries is obtained with Support Vector Machine (SVM) which must be initially trained.…”

Section: Introductionmentioning

confidence: 99%

Dempster-Shafer-Based Fusion of Multi-Modal Biometrics for Supporting Identity Verification Effectively and Efficiently

Cuzzocrea

Mumolo

2021

2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS)

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The purpose of this paper is to describe a novel fusion algorithm for multi-modal biometric identification. In this paper we describe the fusion of fingerprints and voice. This combination of biometrics is rarely used in verification systems although this biometric pair is simple to use and not too invasive. A framework for the combination of several data fusion algorithms is described. In this paper we use only two types of data fusion techniques, namely weighted sum and fuzzy system. Two independent identity decisions can be thus obtained, and from them two beliefs that the identity is verified can be derived. The two beliefs are combined using Dempster-Shafer's approach to obtain the final decision. The results are reported by ROC curves.

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Multi-Layered Multimodal Biometric Authentication for Smartphone Devices

Cited by 5 publications

References 18 publications

A Systematic Literature Review of the Types of Authentication Safety Practices among Internet Users

A Systematic Literature Review of the Types of Authentication Safety Practices among Internet Users

Design A Multi Biometric System for Safe Access to Buildings

Dempster-Shafer-Based Fusion of Multi-Modal Biometrics for Supporting Identity Verification Effectively and Efficiently

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