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Enhancing Security by Using GIFT and ECC Encryption Method in Multi-Tenant Datacenters

Jin Wang1, Ying Liu1, Shuying Rao1, R. Simon Sherratt2, Jinbin Hu1,*

1 School of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha, 410004, China
2 School of Systems Engineering, The University of Reading, RG6 6AY, UK

* Corresponding Author: Jinbin Hu. Email: email

Computers, Materials & Continua 2023, 75(2), 3849-3865.


Data security and user privacy have become crucial elements in multi-tenant data centers. Various traffic types in the multi-tenant data center in the cloud environment have their characteristics and requirements. In the data center network (DCN), short and long flows are sensitive to low latency and high throughput, respectively. The traditional security processing approaches, however, neglect these characteristics and requirements. This paper proposes a fine-grained security enhancement mechanism (SEM) to solve the problem of heterogeneous traffic and reduce the traffic completion time (FCT) of short flows while ensuring the security of multi-tenant traffic transmission. Specifically, for short flows in DCN, the lightweight GIFT encryption method is utilized. For Intra-DCN long flows and Inter-DCN traffic, the asymmetric elliptic curve encryption algorithm (ECC) is utilized. The NS-3 simulation results demonstrate that SEM dramatically reduces the FCT of short flows by 70% compared to several conventional encryption techniques, effectively enhancing the security and anti-attack of traffic transmission between DCNs in cloud computing environments. Additionally, SEM performs better than other encryption methods under high load and in large-scale cloud environments.


Cite This Article

J. Wang, Y. Liu, S. Rao, R. Simon Sherratt and J. Hu, "Enhancing security by using gift and ecc encryption method in multi-tenant datacenters," Computers, Materials & Continua, vol. 75, no.2, pp. 3849–3865, 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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