Acceleration of Inner-Pairing Product Operation for Secure Biometric Verification
With the recent advances in mobile technologies, biometric verification is being adopted in many smart devices as a means for authenticating their owners. As biometric data leakage may cause stringent privacy issues, many proposals have been offered to guarantee the security of stored biometric data...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/8/2859 |
| _version_ | 1827694768050667520 |
|---|---|
| author | Seong-Yun Jeon Mun-Kyu Lee |
| author_facet | Seong-Yun Jeon Mun-Kyu Lee |
| author_sort | Seong-Yun Jeon |
| collection | DOAJ |
| description | With the recent advances in mobile technologies, biometric verification is being adopted in many smart devices as a means for authenticating their owners. As biometric data leakage may cause stringent privacy issues, many proposals have been offered to guarantee the security of stored biometric data, i.e., biometric template. One of the most promising solutions is the use of a remote server that stores the template in an encrypted form and performs a biometric comparison on the ciphertext domain, using recently proposed functional encryption (FE) techniques. However, the drawback of this approach is that considerable computation is required for the inner-pairing product operation used for the decryption procedure of the underlying FE, which is performed in the authentication phase. In this paper, we propose an enhanced method to accelerate the inner-pairing product computation and apply it to expedite the decryption operation of FE and for faster remote biometric verification. The following two important observations are the basis for our improvement—one of the two arguments for the decryption operation does not frequently change over authentication sessions, and we only need to evaluate the product of multiple pairings, rather than individual pairings. From the results of our experiments, the proposed method reduces the time required to compute an inner-pairing product by 30.7%, compared to the previous best method. With this improvement, the time required for biometric verification is expected to decrease by up to 10.0%, compared to a naive method. |
| first_indexed | 2024-03-10T12:11:23Z |
| format | Article |
| id | doaj.art-48cbce3dbb334e649196ac11f89b309a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T12:11:23Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-48cbce3dbb334e649196ac11f89b309a2023-11-21T16:08:36ZengMDPI AGSensors1424-82202021-04-01218285910.3390/s21082859Acceleration of Inner-Pairing Product Operation for Secure Biometric VerificationSeong-Yun Jeon0Mun-Kyu Lee1Department of Electrical and Computer Engineering, Inha University, Incheon 22212, KoreaDepartment of Electrical and Computer Engineering, Inha University, Incheon 22212, KoreaWith the recent advances in mobile technologies, biometric verification is being adopted in many smart devices as a means for authenticating their owners. As biometric data leakage may cause stringent privacy issues, many proposals have been offered to guarantee the security of stored biometric data, i.e., biometric template. One of the most promising solutions is the use of a remote server that stores the template in an encrypted form and performs a biometric comparison on the ciphertext domain, using recently proposed functional encryption (FE) techniques. However, the drawback of this approach is that considerable computation is required for the inner-pairing product operation used for the decryption procedure of the underlying FE, which is performed in the authentication phase. In this paper, we propose an enhanced method to accelerate the inner-pairing product computation and apply it to expedite the decryption operation of FE and for faster remote biometric verification. The following two important observations are the basis for our improvement—one of the two arguments for the decryption operation does not frequently change over authentication sessions, and we only need to evaluate the product of multiple pairings, rather than individual pairings. From the results of our experiments, the proposed method reduces the time required to compute an inner-pairing product by 30.7%, compared to the previous best method. With this improvement, the time required for biometric verification is expected to decrease by up to 10.0%, compared to a naive method.https://www.mdpi.com/1424-8220/21/8/2859inner-pairing productfunctional encryptionbiometric verification |
| spellingShingle | Seong-Yun Jeon Mun-Kyu Lee Acceleration of Inner-Pairing Product Operation for Secure Biometric Verification Sensors inner-pairing product functional encryption biometric verification |
| title | Acceleration of Inner-Pairing Product Operation for Secure Biometric Verification |
| title_full | Acceleration of Inner-Pairing Product Operation for Secure Biometric Verification |
| title_fullStr | Acceleration of Inner-Pairing Product Operation for Secure Biometric Verification |
| title_full_unstemmed | Acceleration of Inner-Pairing Product Operation for Secure Biometric Verification |
| title_short | Acceleration of Inner-Pairing Product Operation for Secure Biometric Verification |
| title_sort | acceleration of inner pairing product operation for secure biometric verification |
| topic | inner-pairing product functional encryption biometric verification |
| url | https://www.mdpi.com/1424-8220/21/8/2859 |
| work_keys_str_mv | AT seongyunjeon accelerationofinnerpairingproductoperationforsecurebiometricverification AT munkyulee accelerationofinnerpairingproductoperationforsecurebiometricverification |