{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:38:51Z","timestamp":1777657131113,"version":"3.51.4"},"reference-count":29,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T00:00:00Z","timestamp":1669680000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Axioms"],"abstract":"<jats:p>Cancelable biometrics is a demanding area of research in which a cancelable template conforming to a biometric is produced without degrading the efficiency. There are numerous approaches described in the literature that can be used to generate these cancelable templates. These approaches do not, however, perform well in either the qualitative or quantitative perspective. To address this challenge, a unique cancelable template generation mechanism based on signcryption and bio hash function is proposed in this paper. Signcryption is a lightweight cryptographic approach that uses hyper elliptic curve cryptography for encryption and a bio hash function for generating signatures in this proposed method. The cancelable templates are generated from iris biometrics. The hybrid grey level distancing method is used for perfect iris feature extraction for the CASIA and IITD datasets. The proposed approach is compared against the existing state-of-the-art cancelable techniques. The resulting analysis reveals that the proposed method is efficient in terms of accuracy of 98.86%, with lower EER of 0.1%. The average minimum TPR and TNR of the proposed method is about 99.81%.<\/jats:p>","DOI":"10.3390\/axioms11120684","type":"journal-article","created":{"date-parts":[[2022,11,30]],"date-time":"2022-11-30T05:45:22Z","timestamp":1669787122000},"page":"684","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Efficient Cancelable Template Generation Based on Signcryption and Bio Hash Function"],"prefix":"10.3390","volume":"11","author":[{"given":"Vani","family":"Rajasekar","sequence":"first","affiliation":[{"name":"Kongu Engineering College, Thoppupalayam, Kumaran Nagar, Perundurai 638060, Tamil Nadu, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2577-7927","authenticated-orcid":false,"given":"Muzafer","family":"Sara\u010devi\u0107","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, University of Novi Pazar, Dimitrija Tucovi\u0107a bb, 36300 Novi Pazar, Serbia"}]},{"given":"Darjan","family":"Karaba\u0161evi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Jevrejska 24, 11000 Belgrade, Serbia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6846-3074","authenticated-orcid":false,"given":"Dragi\u0161a","family":"Stanujki\u0107","sequence":"additional","affiliation":[{"name":"Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 12, 19210 Bor, Serbia"}]},{"given":"Eldin","family":"Dobard\u017ei\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Economics and Engineering Management, University Business Academy in Novi Sad, Cvecarska 2, 21000 Novi Sad, Serbia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6757-367X","authenticated-orcid":false,"given":"Sathya","family":"Krishnamoorthi","sequence":"additional","affiliation":[{"name":"Kongu Engineering College, Thoppupalayam, Kumaran Nagar, Perundurai 638060, Tamil Nadu, India"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2972","DOI":"10.1109\/TIFS.2019.2907014","article-title":"Generation of cancelable iris templates via randomized bit sampling","volume":"14","author":"Sadhya","year":"2019","journal-title":"IEEE Trans. Inf. Secur."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1038\/s41598-021-04652-3","article-title":"Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm","volume":"12","author":"Rajasekar","year":"2022","journal-title":"Sci. Rep."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"6494","DOI":"10.1109\/TII.2021.3139609","article-title":"An Efficient Lightweight Privacy-Preserving Mechanism for Industry 4.0 Based on Elliptic Curve Cryptography","volume":"18","author":"Velliangiri","year":"2021","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1007\/s12083-020-01046-6","article-title":"Cancelable Iris template for secure authentication based on random projection and double random phase encoding","volume":"14","author":"Rajasekar","year":"2021","journal-title":"Peer--Peer Netw. Appl."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"87","DOI":"10.12700\/APH.18.3.2021.3.5","article-title":"Secure remote user authentication scheme on health care, IoT and cloud applications: A multilayer systematic survey","volume":"18","author":"Rajasekar","year":"2021","journal-title":"Acta Poly Tech. Hung."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.neucom.2021.09.055","article-title":"A generic framework for deep incremental cancelable template generation","volume":"467","author":"Singh","year":"2022","journal-title":"Neurocomputing"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"22027","DOI":"10.1007\/s11042-021-11284-2","article-title":"CBRC: A novel approach for cancelable biometric template generation using random permutation and Chinese Remainder Theorem","volume":"81","author":"Manisha","year":"2022","journal-title":"Multimed Tools Appl."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2025","DOI":"10.1007\/s13369-021-06133-1","article-title":"Attack-resistant and efficient cancelable codeword generation using random walk-based methods","volume":"47","author":"Pandey","year":"2022","journal-title":"Arab. J. Sci. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"7281","DOI":"10.1007\/s10489-021-02201-z","article-title":"Random area-perimeter method for generation of unimodal and multimodal cancelable biometric templates","volume":"51","author":"Asthana","year":"2021","journal-title":"Appl. Intell."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"033025","DOI":"10.1117\/1.JEI.31.3.033025","article-title":"Max-min threshold-based cancelable biometric templates for low-end devices","volume":"31","author":"Siddhad","year":"2022","journal-title":"J. Electron. Imaging"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2869","DOI":"10.1109\/TIFS.2020.2977533","article-title":"A cryptanalysis of two cancelable biometric schemes based on index-of-max hashing","volume":"15","author":"Ghammam","year":"2020","journal-title":"IEEE Trans. Inf. Secur."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"8841021","DOI":"10.1155\/2020\/8841021","article-title":"Enhanced biometric recognition for secure authentication using iris preprocessing and hyperelliptic curve cryptography","volume":"2020","author":"Rajasekar","year":"2020","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"ref_13","unstructured":"El-Rahiem, A.b.d., Fathi, E., El Samie, A.b.d., and Amin, M. (2022). Efficient cancellable multi-biometric recognition system based on deep learning and bio-hashing. Appl. Intell., 1\u201315."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Rajasekar, V., Varadhaganapathy, S., Sathya, K., and Premalatha, J. (2016, January 3\u20135). An efficient lightweight cryptographic scheme of signcryption based on hyperelliptic curve. Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), Dhanbad, India.","DOI":"10.1109\/RAIT.2016.7507934"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.ins.2021.11.066","article-title":"Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication","volume":"585","author":"Sakr","year":"2022","journal-title":"Inf. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Choudhary, S.K., and Naik, A.K. (2022, January 26\u201328). Protected Biometric Identification with Multiple Finger Vein. Proceedings of the 2022 2nd Asian IEEE Conference on Innovation in Technology (ASIANCON), Ravet, India.","DOI":"10.1109\/ASIANCON55314.2022.9909050"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Rathgeb, C., Wagner, J., Tams, B., and Busch, C. (2015, January 3\u20134). Preventing the cross-matching attack in Bloom filter-based cancelable biometrics. Proceedings of the 3rd International Workshop on Biometrics and Forensics (IWBF 2015), Gjovik, Norway.","DOI":"10.1109\/IWBF.2015.7110226"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1049\/iet-bmt.2015.0045","article-title":"Robust cancellable biometrics scheme based on neural networks","volume":"5","author":"Tarek","year":"2016","journal-title":"IET Biom."},{"key":"ref_19","first-page":"498","article-title":"Pre-image Resistant Cancelable Biometrics Scheme Using Bidirectional Memory Model","volume":"19","author":"Tarek","year":"2017","journal-title":"Int. J. Netw. Secur."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.patcog.2016.10.035","article-title":"Cancellable iris template generation based on Indexing-First-One hashing","volume":"64","author":"Lai","year":"2017","journal-title":"Pattern Recognit."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.inffus.2017.10.003","article-title":"Multi-biometric template protection based on bloom filters","volume":"42","author":"Rathgeb","year":"2018","journal-title":"Inf. Fusion"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11082-018-1591-0","article-title":"A double random phase encoding approach for cancelable iris recognition","volume":"50","author":"Soliman","year":"2018","journal-title":"Opt. Quantum Electron."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s40745-018-0172-1","article-title":"A modified cancelable biometrics scheme using random projection","volume":"6","author":"Soliman","year":"2019","journal-title":"Ann. Data Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/s40010-018-0555-x","article-title":"Efficient cancelable Iris recognition scheme based on modified logistic map","volume":"90","author":"Soliman","year":"2020","journal-title":"Proc. Natl. Acad. Sci. India Sect. A Phys. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Drozdowski, P., Garg, S., Rathgeb, C., Gomez-Barrcro, M., Chang, D., and Busch, C. (2018, January 3\u20137). Privacy-preserving indexing of Iris-codes with cancelable Bloom filter-based search structures. Proceedings of the 2018 26th European Signal Processing Conference (EUSIPCO), Rome, Italy.","DOI":"10.23919\/EUSIPCO.2018.8553053"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1134\/S1054661821040052","article-title":"A New Cancelable Deep Biometric Feature Using Chaotic Maps","volume":"32","author":"Bendib","year":"2022","journal-title":"Pattern Recognit. Image Anal."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1989","DOI":"10.1109\/TIFS.2018.2807790","article-title":"Normalization and weighting techniques based on genuine-impostor score fusion in multi-biometric systems","volume":"13","author":"Kabir","year":"2018","journal-title":"IEEE Trans. Inf. Secur."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.future.2019.07.023","article-title":"Privacy preserving remote multi-server biometric authentication using cancelable biometrics and secret sharing","volume":"102","author":"Kaur","year":"2020","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1109\/TIFS.2018.2855669","article-title":"Random distance method for generating unimodal and multimodal cancelable biometric features","volume":"14","author":"Kaur","year":"2018","journal-title":"IEEE Trans. Inf. 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