A Secure Face Verification Scheme Based on Fully Homomorphic Encryption with Anonymity

With the widespread adoption of cloud computing, the face verification process often requires the client to upload the face to an untrusted cloud server to obtain the verification results. Privacy leakage issues may arise if the client’s private information is not protected. This paper proposes a se...
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Autor*in:	Xingchen Wang [verfasserIn] Peng Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	face verification anonymity fully homomorphic encryption private information retrieval privacy-protection

Übergeordnetes Werk:	In: Information - MDPI AG, 2010, 15(2024), 3, p 129
Übergeordnetes Werk:	volume:15 ; year:2024 ; number:3, p 129

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/info15030129

Katalog-ID:	DOAJ10049028X

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allfieldsSound	10.3390/info15030129 doi (DE-627)DOAJ10049028X (DE-599)DOAJ609f6dd0965342eeae666cb300e217c7 DE-627 ger DE-627 rakwb eng T58.5-58.64 Xingchen Wang verfasserin aut A Secure Face Verification Scheme Based on Fully Homomorphic Encryption with Anonymity 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the widespread adoption of cloud computing, the face verification process often requires the client to upload the face to an untrusted cloud server to obtain the verification results. Privacy leakage issues may arise if the client’s private information is not protected. This paper proposes a secure and anonymous face verification scheme using fully homomorphic encryption technology and SealPIR. Our scheme is a three-party solution that requires a third-party server trusted by the client. This scheme not only prevents the client’s facial data from being obtained by untrusted data servers but also prevents the data server from learning the index corresponding to the face that the client wants to verify. In a single-face verification process, the client only needs to perform one upload operation and one download operation, with a communication volume of 264 KB. We can complete a privacy-protected anonymous face verification process in 84.91 ms. face verification anonymity fully homomorphic encryption private information retrieval privacy-protection Information technology Peng Li verfasserin aut In Information MDPI AG, 2010 15(2024), 3, p 129 (DE-627)654746753 (DE-600)2599790-7 20782489 nnns volume:15 year:2024 number:3, p 129 https://doi.org/10.3390/info15030129 kostenfrei https://doaj.org/article/609f6dd0965342eeae666cb300e217c7 kostenfrei https://www.mdpi.com/2078-2489/15/3/129 kostenfrei https://doaj.org/toc/2078-2489 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2024 3, p 129
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callnumber-first	T - Technology
author	Xingchen Wang
spellingShingle	Xingchen Wang misc T58.5-58.64 misc face verification misc anonymity misc fully homomorphic encryption misc private information retrieval misc privacy-protection misc Information technology A Secure Face Verification Scheme Based on Fully Homomorphic Encryption with Anonymity
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topic_title	T58.5-58.64 A Secure Face Verification Scheme Based on Fully Homomorphic Encryption with Anonymity face verification anonymity fully homomorphic encryption private information retrieval privacy-protection
topic	misc T58.5-58.64 misc face verification misc anonymity misc fully homomorphic encryption misc private information retrieval misc privacy-protection misc Information technology
topic_unstemmed	misc T58.5-58.64 misc face verification misc anonymity misc fully homomorphic encryption misc private information retrieval misc privacy-protection misc Information technology
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title	A Secure Face Verification Scheme Based on Fully Homomorphic Encryption with Anonymity
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title_sort	secure face verification scheme based on fully homomorphic encryption with anonymity
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title_auth	A Secure Face Verification Scheme Based on Fully Homomorphic Encryption with Anonymity
abstract	With the widespread adoption of cloud computing, the face verification process often requires the client to upload the face to an untrusted cloud server to obtain the verification results. Privacy leakage issues may arise if the client’s private information is not protected. This paper proposes a secure and anonymous face verification scheme using fully homomorphic encryption technology and SealPIR. Our scheme is a three-party solution that requires a third-party server trusted by the client. This scheme not only prevents the client’s facial data from being obtained by untrusted data servers but also prevents the data server from learning the index corresponding to the face that the client wants to verify. In a single-face verification process, the client only needs to perform one upload operation and one download operation, with a communication volume of 264 KB. We can complete a privacy-protected anonymous face verification process in 84.91 ms.
abstractGer	With the widespread adoption of cloud computing, the face verification process often requires the client to upload the face to an untrusted cloud server to obtain the verification results. Privacy leakage issues may arise if the client’s private information is not protected. This paper proposes a secure and anonymous face verification scheme using fully homomorphic encryption technology and SealPIR. Our scheme is a three-party solution that requires a third-party server trusted by the client. This scheme not only prevents the client’s facial data from being obtained by untrusted data servers but also prevents the data server from learning the index corresponding to the face that the client wants to verify. In a single-face verification process, the client only needs to perform one upload operation and one download operation, with a communication volume of 264 KB. We can complete a privacy-protected anonymous face verification process in 84.91 ms.
abstract_unstemmed	With the widespread adoption of cloud computing, the face verification process often requires the client to upload the face to an untrusted cloud server to obtain the verification results. Privacy leakage issues may arise if the client’s private information is not protected. This paper proposes a secure and anonymous face verification scheme using fully homomorphic encryption technology and SealPIR. Our scheme is a three-party solution that requires a third-party server trusted by the client. This scheme not only prevents the client’s facial data from being obtained by untrusted data servers but also prevents the data server from learning the index corresponding to the face that the client wants to verify. In a single-face verification process, the client only needs to perform one upload operation and one download operation, with a communication volume of 264 KB. We can complete a privacy-protected anonymous face verification process in 84.91 ms.
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title_short	A Secure Face Verification Scheme Based on Fully Homomorphic Encryption with Anonymity
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