Privacy-preserving continuous authentication using behavioral biometrics
Abstract Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which causes privacy concerns. In this paper, we propose two privacy-preservin...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Baig, Ahmed Fraz [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2023 |
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| Übergeordnetes Werk: |
Enthalten in: International Journal of Information Security - Springer-Verlag, 2001, 22(2023), 6 vom: 13. Juli, Seite 1833-1847 |
|---|---|
| Übergeordnetes Werk: |
volume:22 ; year:2023 ; number:6 ; day:13 ; month:07 ; pages:1833-1847 |
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10.1007/s10207-023-00721-y |
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SPR05318680X |
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| 520 | |a Abstract Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which causes privacy concerns. In this paper, we propose two privacy-preserving protocols that enable continuous authentication while preventing the disclosure of user-sensitive information to an authentication server. We utilize homomorphic cryptographic primitives that protect the privacy of biometric features with an oblivious transfer protocol that enables privacy-preserving information retrieval. We performed the biometric evaluation of the proposed protocols on two datasets, a swipe gesture dataset and a keystroke dynamics dataset. The biometric evaluation shows that the protocols have very good performance. The execution time of the protocols is measured by considering continuous authentication using: only swipe gestures, keystroke dynamics, and hybrid modalities. The execution time proves the protocols are very efficient, even on high-security levels. | ||
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10.1007/s10207-023-00721-y doi (DE-627)SPR05318680X (SPR)s10207-023-00721-y-e DE-627 ger DE-627 rakwb eng Baig, Ahmed Fraz verfasserin aut Privacy-preserving continuous authentication using behavioral biometrics 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which causes privacy concerns. In this paper, we propose two privacy-preserving protocols that enable continuous authentication while preventing the disclosure of user-sensitive information to an authentication server. We utilize homomorphic cryptographic primitives that protect the privacy of biometric features with an oblivious transfer protocol that enables privacy-preserving information retrieval. We performed the biometric evaluation of the proposed protocols on two datasets, a swipe gesture dataset and a keystroke dynamics dataset. The biometric evaluation shows that the protocols have very good performance. The execution time of the protocols is measured by considering continuous authentication using: only swipe gestures, keystroke dynamics, and hybrid modalities. The execution time proves the protocols are very efficient, even on high-security levels. Privacy (dpeaa)DE-He213 Homomorphic encryption (dpeaa)DE-He213 Continuous authentication (dpeaa)DE-He213 Behavioral biometrics (dpeaa)DE-He213 Oblivious transfer protocol (dpeaa)DE-He213 Eskeland, Sigurd aut Yang, Bian aut Enthalten in International Journal of Information Security Springer-Verlag, 2001 22(2023), 6 vom: 13. Juli, Seite 1833-1847 (DE-627)SPR009127291 nnns volume:22 year:2023 number:6 day:13 month:07 pages:1833-1847 https://dx.doi.org/10.1007/s10207-023-00721-y kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 22 2023 6 13 07 1833-1847 |
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10.1007/s10207-023-00721-y doi (DE-627)SPR05318680X (SPR)s10207-023-00721-y-e DE-627 ger DE-627 rakwb eng Baig, Ahmed Fraz verfasserin aut Privacy-preserving continuous authentication using behavioral biometrics 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which causes privacy concerns. In this paper, we propose two privacy-preserving protocols that enable continuous authentication while preventing the disclosure of user-sensitive information to an authentication server. We utilize homomorphic cryptographic primitives that protect the privacy of biometric features with an oblivious transfer protocol that enables privacy-preserving information retrieval. We performed the biometric evaluation of the proposed protocols on two datasets, a swipe gesture dataset and a keystroke dynamics dataset. The biometric evaluation shows that the protocols have very good performance. The execution time of the protocols is measured by considering continuous authentication using: only swipe gestures, keystroke dynamics, and hybrid modalities. The execution time proves the protocols are very efficient, even on high-security levels. Privacy (dpeaa)DE-He213 Homomorphic encryption (dpeaa)DE-He213 Continuous authentication (dpeaa)DE-He213 Behavioral biometrics (dpeaa)DE-He213 Oblivious transfer protocol (dpeaa)DE-He213 Eskeland, Sigurd aut Yang, Bian aut Enthalten in International Journal of Information Security Springer-Verlag, 2001 22(2023), 6 vom: 13. Juli, Seite 1833-1847 (DE-627)SPR009127291 nnns volume:22 year:2023 number:6 day:13 month:07 pages:1833-1847 https://dx.doi.org/10.1007/s10207-023-00721-y kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 22 2023 6 13 07 1833-1847 |
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10.1007/s10207-023-00721-y doi (DE-627)SPR05318680X (SPR)s10207-023-00721-y-e DE-627 ger DE-627 rakwb eng Baig, Ahmed Fraz verfasserin aut Privacy-preserving continuous authentication using behavioral biometrics 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which causes privacy concerns. In this paper, we propose two privacy-preserving protocols that enable continuous authentication while preventing the disclosure of user-sensitive information to an authentication server. We utilize homomorphic cryptographic primitives that protect the privacy of biometric features with an oblivious transfer protocol that enables privacy-preserving information retrieval. We performed the biometric evaluation of the proposed protocols on two datasets, a swipe gesture dataset and a keystroke dynamics dataset. The biometric evaluation shows that the protocols have very good performance. The execution time of the protocols is measured by considering continuous authentication using: only swipe gestures, keystroke dynamics, and hybrid modalities. The execution time proves the protocols are very efficient, even on high-security levels. Privacy (dpeaa)DE-He213 Homomorphic encryption (dpeaa)DE-He213 Continuous authentication (dpeaa)DE-He213 Behavioral biometrics (dpeaa)DE-He213 Oblivious transfer protocol (dpeaa)DE-He213 Eskeland, Sigurd aut Yang, Bian aut Enthalten in International Journal of Information Security Springer-Verlag, 2001 22(2023), 6 vom: 13. Juli, Seite 1833-1847 (DE-627)SPR009127291 nnns volume:22 year:2023 number:6 day:13 month:07 pages:1833-1847 https://dx.doi.org/10.1007/s10207-023-00721-y kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 22 2023 6 13 07 1833-1847 |
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10.1007/s10207-023-00721-y doi (DE-627)SPR05318680X (SPR)s10207-023-00721-y-e DE-627 ger DE-627 rakwb eng Baig, Ahmed Fraz verfasserin aut Privacy-preserving continuous authentication using behavioral biometrics 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2023 Abstract Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which causes privacy concerns. In this paper, we propose two privacy-preserving protocols that enable continuous authentication while preventing the disclosure of user-sensitive information to an authentication server. We utilize homomorphic cryptographic primitives that protect the privacy of biometric features with an oblivious transfer protocol that enables privacy-preserving information retrieval. We performed the biometric evaluation of the proposed protocols on two datasets, a swipe gesture dataset and a keystroke dynamics dataset. The biometric evaluation shows that the protocols have very good performance. The execution time of the protocols is measured by considering continuous authentication using: only swipe gestures, keystroke dynamics, and hybrid modalities. The execution time proves the protocols are very efficient, even on high-security levels. Privacy (dpeaa)DE-He213 Homomorphic encryption (dpeaa)DE-He213 Continuous authentication (dpeaa)DE-He213 Behavioral biometrics (dpeaa)DE-He213 Oblivious transfer protocol (dpeaa)DE-He213 Eskeland, Sigurd aut Yang, Bian aut Enthalten in International Journal of Information Security Springer-Verlag, 2001 22(2023), 6 vom: 13. Juli, Seite 1833-1847 (DE-627)SPR009127291 nnns volume:22 year:2023 number:6 day:13 month:07 pages:1833-1847 https://dx.doi.org/10.1007/s10207-023-00721-y kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 22 2023 6 13 07 1833-1847 |
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Abstract Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which causes privacy concerns. In this paper, we propose two privacy-preserving protocols that enable continuous authentication while preventing the disclosure of user-sensitive information to an authentication server. We utilize homomorphic cryptographic primitives that protect the privacy of biometric features with an oblivious transfer protocol that enables privacy-preserving information retrieval. We performed the biometric evaluation of the proposed protocols on two datasets, a swipe gesture dataset and a keystroke dynamics dataset. The biometric evaluation shows that the protocols have very good performance. The execution time of the protocols is measured by considering continuous authentication using: only swipe gestures, keystroke dynamics, and hybrid modalities. The execution time proves the protocols are very efficient, even on high-security levels. © The Author(s) 2023 |
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Abstract Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which causes privacy concerns. In this paper, we propose two privacy-preserving protocols that enable continuous authentication while preventing the disclosure of user-sensitive information to an authentication server. We utilize homomorphic cryptographic primitives that protect the privacy of biometric features with an oblivious transfer protocol that enables privacy-preserving information retrieval. We performed the biometric evaluation of the proposed protocols on two datasets, a swipe gesture dataset and a keystroke dynamics dataset. The biometric evaluation shows that the protocols have very good performance. The execution time of the protocols is measured by considering continuous authentication using: only swipe gestures, keystroke dynamics, and hybrid modalities. The execution time proves the protocols are very efficient, even on high-security levels. © The Author(s) 2023 |
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Abstract Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which causes privacy concerns. In this paper, we propose two privacy-preserving protocols that enable continuous authentication while preventing the disclosure of user-sensitive information to an authentication server. We utilize homomorphic cryptographic primitives that protect the privacy of biometric features with an oblivious transfer protocol that enables privacy-preserving information retrieval. We performed the biometric evaluation of the proposed protocols on two datasets, a swipe gesture dataset and a keystroke dynamics dataset. The biometric evaluation shows that the protocols have very good performance. The execution time of the protocols is measured by considering continuous authentication using: only swipe gestures, keystroke dynamics, and hybrid modalities. The execution time proves the protocols are very efficient, even on high-security levels. © The Author(s) 2023 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR05318680X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231002145348.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231002s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10207-023-00721-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR05318680X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10207-023-00721-y-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Baig, Ahmed Fraz</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Privacy-preserving continuous authentication using behavioral biometrics</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2023</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which causes privacy concerns. In this paper, we propose two privacy-preserving protocols that enable continuous authentication while preventing the disclosure of user-sensitive information to an authentication server. We utilize homomorphic cryptographic primitives that protect the privacy of biometric features with an oblivious transfer protocol that enables privacy-preserving information retrieval. We performed the biometric evaluation of the proposed protocols on two datasets, a swipe gesture dataset and a keystroke dynamics dataset. The biometric evaluation shows that the protocols have very good performance. The execution time of the protocols is measured by considering continuous authentication using: only swipe gestures, keystroke dynamics, and hybrid modalities. The execution time proves the protocols are very efficient, even on high-security levels.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Privacy</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Homomorphic encryption</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Continuous authentication</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Behavioral biometrics</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Oblivious transfer protocol</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Eskeland, Sigurd</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yang, Bian</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International Journal of Information Security</subfield><subfield code="d">Springer-Verlag, 2001</subfield><subfield code="g">22(2023), 6 vom: 13. 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