Developing a Context-Dependent Tuning Framework of Multi-channel Biometrics that Combine Audio-Visual Characteristics for Secure Access of an eHealth Platform

Spanakis, Marios; Manikis, Georgios C.; Porwal, Sakshi; Spanakis, Emmanouil G.

doi:10.1007/978-3-319-98551-0_22

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…There are many sensitive software applications, mainly related to patient health records, which would need more specific protection. To provide a different level of eHealth record access to different personnel of varying rank, Spanakis et al, proposed SpeechXRays, a multi-channel biometrics platform of user authentication [38,39]. This framework is based on a multimodal authentication paradigm, based on voice acoustics facial recognition [40,41].…”

Section: Related Workmentioning

confidence: 99%

MoLaBSS: Server-Specific Add-On Biometric Security Layer Model to Enhance the Usage of Biometrics

Singh

2020

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With high-paced growth in biometrics, and its easy availability to capture various biometric features, it is emerging as one of the most valuable technologies for multifactor authentication to verify a user’s identity, for data security. Organizations encourage their members to use biometrics, but they are hesitant to use them due to perceived security risks. Because of its low usage rate, many medium and small segment organizations find it unfeasible to deploy robust biometric systems. We propose a server-specific add-on biometric security layer model (MoLaBSS) to enhance confidence in the usage of biometrics. We tested this model via a biometric mobile app, and the survey showed a favorable response of 80%. The innovative mobile app was tested for its usability and got a score of more than 71%. For test tool reliability, we examined the equal error rate (EER) of the app and got a reasonably low score of 6%. The results show good potential of this framework to enhance users’ confidence level in the usage of biometrics. Higher usage rates may make deployment of biometrics more cost-effective for many organizations to decrease their information security risk.

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Section: Related Workmentioning

confidence: 99%

MoLaBSS: Server-Specific Add-On Biometric Security Layer Model to Enhance the Usage of Biometrics

Singh

2020

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“…There are many sensitive software applications mainly related to patient health records, which would need more specific protection. To provide a different level of eHealth record access to different the personnel of varying rank Spanakis et al, proposed SpeechXRays, a multi-channel biometrics platform of user authentication [31], [32]. This framework is based on a multi-modal authentication paradigm [33] based on voice acoustics facial recognition [34].…”

Section: Related Workmentioning

confidence: 99%

A mobile app to make biometrics usage more secure

Singh¹,

Singh²

2020

Preprint

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With high paced growth in biometrics, its easy availability to capture various biometric features, it is <a>emerging as one of the most valuable technologies for multifactor authentication to verify a user’s identity, for data security. </a>Organizations encourage their members to use biometrics, but <a>they are hesitant to use due to perceived security risks. Because of its low usage rate, many medium and small segment organizations find it unfeasible to deploy robust biometric systems. </a>We propose a solution of an extra layer of security, via a low-cost mobile app framework, “Bio-Guard,” to use biometrics, more securely. We tested the app for its design, functions, usability, and it got a score of more than 71% on the usability scale and a reasonably low equal error rate (EER) of 6%. The survey to evaluate the usefulness of the app showed a favorable response of 80%. The results show a good potential of the app to make access to biometric data more secure. The app may enhance users’ confidence-level in encouraging higher participation of users in the usage of biometrics. Higher usage rates may make deployment of biometrics more cost-effective for many medium and small segment organizations to decrease their information security risk.

show abstract

MoLaBSS: Server-specific add-on biometric security layer model to enhance the usage of biometrics

Singh¹,

Singh²

2020

Preprint

View full text Add to dashboard Cite

With high paced growth in biometrics, and its easy availability to capture various biometric features, it is <a>emerging as one of the most valuable technologies for multifactor authentication to verify a user’s identity, for data security. </a>Organizations encourage their members to use biometrics, but <a>they are hesitant to use due to perceived security risks. Because of its low usage rate, many medium and small segment organizations find it unfeasible to deploy robust biometric systems. </a>We propose a “server-specific add-on biometric security layer model,” to enhance confidence in the usage of biometrics. We tested this model via a biometric mobile app, and the survey showed a favorable response of 80%. The innovative mobile app was tested for its usability and got a score of more than 71%. For test tool reliability, we examined the equal error rate (EER) of the app and got a reasonably low score of 6%. The results show a good potential of this framework to enhance users’ confidence-level in the usage of biometrics. Higher usage rates may make deployment of biometrics more cost-effective for many organizations to decrease their information security risk.

show abstract

Developing a Context-Dependent Tuning Framework of Multi-channel Biometrics that Combine Audio-Visual Characteristics for Secure Access of an eHealth Platform

Cited by 3 publications

References 17 publications

MoLaBSS: Server-Specific Add-On Biometric Security Layer Model to Enhance the Usage of Biometrics

MoLaBSS: Server-Specific Add-On Biometric Security Layer Model to Enhance the Usage of Biometrics

A mobile app to make biometrics usage more secure

MoLaBSS: Server-specific add-on biometric security layer model to enhance the usage of biometrics

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