Continuous Multimodal Biometric Authentication Schemes: A Systematic Review

Ryu, Riseul; Yeom, Soonja; Kim, Soo-Hyung; Herbert, David

doi:10.1109/access.2021.3061589

Cited by 64 publications

(43 citation statements)

References 60 publications

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“…The research regarding authentication types provides very well-organized surveys in which different approaches for biometric authentication are presented, as well as presenting the challenges raised by this authentication technology [12]. Additional interesting papers that present authentication based on multiple factors are Refs.…”

Section: State-of-the-art Approachmentioning

confidence: 99%

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

Mihăilescu

Nita

2022

Cryptography

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Cloud computing offers the possibility of providing suitable access within a network for a set of resources. Many users use different services for outsourcing their data within the cloud, saving and mitigating the local storage and other resources involved. One of the biggest concerns is represented by storing sensitive data on remote servers, which can be found to be extremely challenging within different situations related to privacy. Searchable Encryption (SE) represents a particular case of Fully Homomorphic Encryption (FHE) and at the same time represents a method composed from a set of algorithms meant to offer protection for users’ sensitive data, while it preserves the searching functionality on the server-side. There are two main types of SE: Searchable Symmetric Encryption (SSE), where the ciphertexts and trapdoors for searching are performed using private key holders, and Public Key Searchable Encryption (PKSE), in which a specific number of users have the public key based on which are capable of outputting ciphertexts and giving the possibility of producing the trapdoors by using the private key from the holder. In this article, we propose a searchable encryption system that uses biometric authentication. Additionally, biometric data are used in the trapdoor generation process, such that an unauthorized user cannot submit search queries. The proposed system contains three components: classic user authentication (based on username, password, and a message with a code using short message service (SMS), biometric authentication, and the searchable encryption scheme. The first two components can be seen as two-factor authentication (2FA), and the second component represents the initialization step of the searchable encryption scheme. In the end, we show and demonstrate that the proposed scheme can be implemented with success for medium to complex network infrastructures. We have granted special attention to the trapdoor function, which generates a value that can be used to perform the search process and search function that is based on the trapdoor pair for searching within the index structure. We provide the correctness and security proof of the operations, which gives us the guarantee that the cloud servers return the correct documents. Additionally, we discuss measuring the performance of the authentication scheme in terms of performance indicators, introducing two indicators for measuring purposes—namely, cloud average number of non-legitim the user actions for cloud purposes (CANNL) and cloud average number of legitim user actions (CANLU).

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Section: State-of-the-art Approachmentioning

confidence: 99%

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

Mihăilescu

Nita

2022

Cryptography

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“…Lack of standard performance measures: There are several measures that have been used to assess the performance of a biometric system. Due to the lack of a single measure to quantify the system, it is very hard to make a comparison of different methods that have been published in the literature (Ryu et al, 2021;Kumar, Prasad & Raju, 2020;Manisha & Kumar, 2020). There is a need to work on a unified measure that is widely adopted by the researchers to evaluate different authentication systems, and making the literature standardized and valid for performing direct comparisons.…”

Section: Open Challenges and Future Directions Challengesmentioning

confidence: 99%

Hand-based multibiometric systems: state-of-the-art and future challenges

Aftab

Khan

et al. 2021

PeerJ Computer Science

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The traditional methods used for the identification of individuals such as personal identification numbers (PINs), identification tags, etc., are vulnerable as they are easily compromised by the hackers. In this paper, we aim to focus on the existing multibiometric systems that use hand based modalities for the identification of individuals. We cover the existing multibiometric systems in the context of various feature extraction schemes, along with an analysis of their performance using one of the performance measures used for biometric systems. Later, we cover the literature on template protection including various cancelable biometrics and biometric cryptosystems and provide a brief comment about the methods used for multibiometric template protection. Finally, we discuss various open issues and challenges faced by researchers and propose some future directions that can enhance the security of multibiometric templates.

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“…Continuous multimodal biometric authentication (CMBA) schemes assure accurate and possibly lesser invasive authentication mechanisms in contrast to single biometric authentication systems. Ryu et al [38] analysed CMBA systems and evaluated for real data. A detailed study of features considered from several schemes was done by Kumari et al [39].…”

Section: Literature Surveymentioning

confidence: 99%

“…• Minimized storage and computational cost [38] • Secret Key Generation (SKG) protocol • NS2 Simulator…”

Section: Development Of User Biometric Authenticationmentioning

confidence: 99%

Secure Multimodal Authentication Scheme for Wireless Sensor Networks

Shivanna¹,

Sheela²

2021

IJSSE

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In the current era, it is necessary to device authorization and authentication techniques to secure resources in information technology. There are several methods to substantiate authorization and authentication. User authentication is essential for authenticating user access control in WSNs. Biometric recognition error, lack of anonymity and vulnerability to attacks, user verification problem, revocation problem and disclosure of session key by the gateway node are some of the security flaws encountered. In this study, a Multimodal Authentication Scheme for Wireless Sensor Networks (WSN-MAS) is proposed to authenticate legitimate users. The main objective is the fusion of fingerprint and iris biometric features at feature level to enable additional accuracy to verify and match user identity with stored templates. In this paper, multimodal biometric features are used for authentication to improve performance, reduce system error rates to achieve better security in WSN.

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Continuous Multimodal Biometric Authentication Schemes: A Systematic Review

Cited by 64 publications

References 60 publications

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

Hand-based multibiometric systems: state-of-the-art and future challenges

Secure Multimodal Authentication Scheme for Wireless Sensor Networks

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