TARU PUBLICATIONS
Journal of Discrete Mathematical Sciences and Cryptography cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
submissions@tarupublications.com
Open Access Research Article

Crypt analysis of multi-key biometric encryption for business enterprises using cloud storage

, , , , *

* Corresponding author · click or hover a name for details

pp. 1559–1568Vol. 28Issue 5-AAugust 2025DOI: 10.47974/JDMSC-2154 Crossmark XML
Received:
05 Nov 2024
Published Online:
30 Aug 2025
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-2154
Pages:
1559–1568

Abstract

In the current competitive global scenario, cloud computing is an important tool for running successful businesses. Cloud computing has become the model for data storage and running applications from distant locations using pay-per-use infrastructure. Cloud users are not in direct control of their data, thus making the operations used to manage data security more challenging. Data encryption at the data source can prevent data leakage while in transit and data tampering when stored in the cloud. Business data encryption using single biometric encryption techniques sometimes fails, as single biometric features can become distorted or compromised. Conversely, the use of multiple biometrics for encryption can provide a better solution. This paper suggests multi-key multi-modalities biometric encryption techniques for businesses to secure important data stored on local premises or offloaded to the cloud. To enhance security, data is encrypted with a master key derived from multiple user keys. To decrypt the data, at least a threshold (t) number of keys are required to generate the master key to decrypt the data. 

Keywords

Subject Classifications

Primary 68P25Secondary 94A60

References

[1] F. Thabit, O. Can, A. O. Aljahdali, G. H. Al-Gaphari, and H. A. Alkhzaimi, “Cryptography algorithms for enhancing IoT Security,” Internet of Things, vol. 22, p. 100759 (Mar. 2023), doi: 10.1016/j.iot.2023.100759.
[2] T. Gundu, “Enhancing remote work security: a Multi-Key biometric authentication scheme for virtual workspaces,” 2021 ICECET, pp. 1–7 (2023).
[3] L. Li, H. Zhu, Y. Zheng, F. Wang, R. Lu and H. Li, “Efficient and Privacy-Preserving Fusion Based Multi-Biometric Recognition,” GLOBECOM 2022 - Rio de Janeiro, Brazil, pp. 4860-4865 (2022).
[4] C. Silva, V. A. Cunha, J. P. Barraca, and R. L. Aguiar, “Analysis of the cryptographic algorithms in IoT communications,” Information Systems sFrontiers, vol. 26, no. 4, pp. 1243–1260 (May 2023).
[5] R. Buyya, C. S. Yeo, and S. Venugopal, “Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities.” (2008).
[6] C. Wang, Q. Wang, K. Ren, and W. J. Lou, “Ensuring Data Storage Security in Cloud Computing,” Iwqos: 2009 Ieee 17th International Workshop on Quality of Service, pp. 37-45\n302 (2009), doi: 10.1109/IWQoS.2009.5201385.
[7] Y. Chen, V. Paxson, and R. H. Katz, “What’s New About Cloud Computing Security?” University of California, Berkeley Report No. UCB/EECS-2010-5 January, vol. 20, no. 2010, pp. 1–8 (2010), doi: 10.1007/978-1-4419-6524-0.
[8] C. Wang, Q. Wang, K. Ren, and W. Lou, “Privacy-preserving public auditing for data storage security in cloud computing,” Ieee Infocom, p. 9 (2010), doi: 10.1109/INFCOM.2010.5462173.
[9] A. Jagadeesan, T. Thillaikkarasi, and K. Duraiswamy, “Cryptographic Key Generation from Multiple Biometric Modalities: Fusing Minutiae with Iris Feature,” Int J Comput Appl, vol. 2, no. 6, pp. 16–26 (2010), doi: 10.5120/673-946.
[10] S. O. Kuyoro, F. Ibikunle, and O. Awodele, “Cloud Computing Security Issues and Challenges,” (2011).
[11] B. Loganayagi and S. Sujatha, “Enhanced Cloud Security by Combining Virtualization and Policy Monitoring Techniques,” Procedia Eng, vol. 30, no. 2011, pp. 654–661 (2012), doi: 10.1016/j.proeng.2012.01.911.
[12] D. Zissis and D. Lekkas, “Addressing cloud computing security issues,” Future Generation Computer Systems, vol. 28, no. 3, pp. 583–592 (2012), doi: 10.1016/j.future.2010.12.006.
[13] M. Borgmann, A. Rossow, M. Johns, B. Kolosnjaji, and H. Baier, On the Security of Cloud Storage Services (2012). [Online]. Available: https://www.sit.fraunhofer.de/fileadmin/dokumente/studien_und_technical_reports/Cloud-Storage-Security_a4.pdf
[14] D. Chen and H. Zhao, “Data Security and Privacy Protection Issues in Cloud Computing,” in 2012 International Conference on Computer Science and Electronics Engineering, IEEE (Mar. 2012), pp. 647–651. doi: 10.1109/ICCSEE.2012.193.
[15] S. K. Sood, “A combined approach to ensure data security in cloud computing,” Journal of Network and Computer Applications, vol. 35, no. 6, pp. 1831–1838 (2012), doi: 10.1016/j.jnca.2012.07.007.
[16] Y. Yu, L. Niu, G. Yang, Y. Mu, and W. Susilo, “On the security of auditing mechanisms for secure cloud storage,” Future Generation Computer Systems, vol. 30, pp. 127–132 (2014), doi: 10.1016/j.future.2013.05.005.    

Views: 151Downloads: 9Citations: 0