A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection
<p dir="ltr">In recent years, due to the exponential growth in the applicability of biometric authentication systems, it has become essential to address the privacy and security concerns of user biometric information. The cancellable biometric template generation is one of the promis...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , |
| منشور في: |
2025
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513534181769216 |
|---|---|
| author | Mohd Imran (12249782) |
| author2 | Mohammad Sarosh Umar (22467175) Furkan Ahmad (709809) |
| author2_role | author author |
| author_facet | Mohd Imran (12249782) Mohammad Sarosh Umar (22467175) Furkan Ahmad (709809) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohd Imran (12249782) Mohammad Sarosh Umar (22467175) Furkan Ahmad (709809) |
| dc.date.none.fl_str_mv | 2025-05-09T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2025.3562758 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_Non-Invertible_Secure_Template_Generation_Using_AES_Encrypted_MCC_and_Random_Triangle_Projection/30405919 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Cybersecurity and privacy Data management and data science Non-invertible random triangle projection AES encryption hashing Mobius transformation minutiae transformation MCC encodings Biometrics Authentication Feature extraction Protection Databases Security Codes Privacy Fingerprint recognition Encryption |
| dc.title.none.fl_str_mv | A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">In recent years, due to the exponential growth in the applicability of biometric authentication systems, it has become essential to address the privacy and security concerns of user biometric information. The cancellable biometric template generation is one of the promising solutions in this situation which protects both the system and the user’s biometric data from unauthorized access. The complexity of such a system which sustains improved performance while maintaining the anonymity of users by introducing non-invertibility, unlinkability, and encapsulation of encrypted templates is a difficult task. The random projection-based cancellable biometric template generation is one of the efficient techniques to secure the information of users. But still, this approach suffers from the adversary attack where an attacker can obtain the original template by performing repeated random projections on the stored template. In this paper, we proposed a technique: MCC Encoded Random Triangle Hashing which protects the biometric template by encoding the projection matrix with the minutiae cylindrical codes obtained from the minutiae information. This technique addresses the problem where the projection matrix is leaked to an attacker which can lead to the reconstruction of the original biometric template. The performance of the proposed technique is evaluated using FMR, FAR, GAR, ROC Curve, and EER parameters on six FVC fingerprint databases FVC2000 DB1, FVC2000 DB2, FVC2002 DB1, FVC2002 DB3, FVC2004 DB1, and FVC2004 DB3 which is publicly available.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2025.3562758" target="_blank">https://dx.doi.org/10.1109/access.2025.3562758</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_16bc316c80a2482385f6946791c0fd63 |
| identifier_str_mv | 10.1109/access.2025.3562758 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30405919 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle ProjectionMohd Imran (12249782)Mohammad Sarosh Umar (22467175)Furkan Ahmad (709809)Information and computing sciencesCybersecurity and privacyData management and data scienceNon-invertiblerandom triangle projectionAES encryptionhashingMobius transformationminutiae transformationMCC encodingsBiometricsAuthenticationFeature extractionProtectionDatabasesSecurityCodesPrivacyFingerprint recognitionEncryption<p dir="ltr">In recent years, due to the exponential growth in the applicability of biometric authentication systems, it has become essential to address the privacy and security concerns of user biometric information. The cancellable biometric template generation is one of the promising solutions in this situation which protects both the system and the user’s biometric data from unauthorized access. The complexity of such a system which sustains improved performance while maintaining the anonymity of users by introducing non-invertibility, unlinkability, and encapsulation of encrypted templates is a difficult task. The random projection-based cancellable biometric template generation is one of the efficient techniques to secure the information of users. But still, this approach suffers from the adversary attack where an attacker can obtain the original template by performing repeated random projections on the stored template. In this paper, we proposed a technique: MCC Encoded Random Triangle Hashing which protects the biometric template by encoding the projection matrix with the minutiae cylindrical codes obtained from the minutiae information. This technique addresses the problem where the projection matrix is leaked to an attacker which can lead to the reconstruction of the original biometric template. The performance of the proposed technique is evaluated using FMR, FAR, GAR, ROC Curve, and EER parameters on six FVC fingerprint databases FVC2000 DB1, FVC2000 DB2, FVC2002 DB1, FVC2002 DB3, FVC2004 DB1, and FVC2004 DB3 which is publicly available.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2025.3562758" target="_blank">https://dx.doi.org/10.1109/access.2025.3562758</a></p>2025-05-09T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2025.3562758https://figshare.com/articles/journal_contribution/A_Non-Invertible_Secure_Template_Generation_Using_AES_Encrypted_MCC_and_Random_Triangle_Projection/30405919CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/304059192025-05-09T06:00:00Z |
| spellingShingle | A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection Mohd Imran (12249782) Information and computing sciences Cybersecurity and privacy Data management and data science Non-invertible random triangle projection AES encryption hashing Mobius transformation minutiae transformation MCC encodings Biometrics Authentication Feature extraction Protection Databases Security Codes Privacy Fingerprint recognition Encryption |
| status_str | publishedVersion |
| title | A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection |
| title_full | A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection |
| title_fullStr | A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection |
| title_full_unstemmed | A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection |
| title_short | A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection |
| title_sort | A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection |
| topic | Information and computing sciences Cybersecurity and privacy Data management and data science Non-invertible random triangle projection AES encryption hashing Mobius transformation minutiae transformation MCC encodings Biometrics Authentication Feature extraction Protection Databases Security Codes Privacy Fingerprint recognition Encryption |