Trust Assessment Model Based on a Zero Trust Strategy in a Community Cloud Environment
- 1 Lastic, ESATIC, Abidjan, Ivory Coast
- 2 University of Rennes 1, Rennes, France
- 3 Lastic, ESATIC, Abidjan, Ivory Coast
- 4 Lab-STICC, IMT-Atlantique, Brest, France
- 5 Lastic, ESATIC, Abidjan, Ivory Coast
Abstract
The adoption of Cloud Computing services in everyday business life has grown rapidly in recent years due to the many benefits of this paradigm. The various collaboration tools offered by Cloud Computing have eliminated or reduced the notion of distance between entities of the same company or between different organizations. This has led to an increase in the need to share resources (data and services). Community Cloud environments have thus emerged to facilitate interactions between organizations with identical needs and with specific and high security requirements. However, establishing trust and secure resource sharing relationships is a major challenge in this type of complex and heterogeneous environment. This paper proposes a trust assessment model (SeComTrust) based on the Zero Trust cybersecurity strategy. First, the paper introduces a community cloud architecture subdivided into different security domains. Second, it presents a process for selecting a trusted organization for an exchange based on direct or recommended trust value and reputation. Finally, a system for promoting or relegating organizations in the different security domains is applied. Experimental results show that our model guarantees the scalability of a community cloud with a high success rate of secure and quality resource sharing.
- Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J. and Brandic, I. (2009) Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility. Future Generation Computer Systems, 25, 599-616. https://doi.org/10.1016/j.future.2008.12.001
- Coret, S. (2021) Gartner: Les revenus mondiaux du cloud s'élèveront à 474 milliards de dollars en 2022, contre 408 milliards de dollars en 2021. https://cloud-computing.developpez.com/actu/328766/Gartner-Les-revenus-mondiaux-du-cloud-s-eleveront-a-474-milliards-de-dollars-en-2022-contre-408-milliards-de-dollars-en-2021-le-cloud-sera-la-piece-maitresse-des-nouvelles-experiences-numeriques/
- Pearson, S. (2013) Privacy, Security and Trust in Cloud Computing. In: Pearson, S. and Yee, G., Eds., Computer Communications and Networks, Springer, London, 3-42. https://doi.org/10.1007/978-1-4471-4189-1_1
- Parmar, V. and Bhavsar, C. (2011) Implementing Community Cloud to Overcome the Problems of Complexity and Security in Business Environment. Indian Journal of Applied Research, 2, 1-3. https://doi.org/10.15373/2249555X/MAY2014/214
- Armbrust, M., Fox, A., Griffith, R., Joseph, A., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I. and Zaharia, M. (2010) View of Cloud Computing—A Critique. Computer Communications of the ACM, 53, 50-58. https://doi.org/10.1145/1721654.1721672
- Coste, B. (2019) Contextual Detection of Cyber-Attacks by Trust Management on Board a Ship. Ecole Nationale Supérieure Mines-Télécom Atlantique, Palaiseau.
- Guo, L., Yang, H., Luan, K., Luo, Y., Sun, L. and Zheng, X. (2021) Trust Management Model Based on Mutual Trust and a Reward-with-Punishment Mechanism for Cloud Environments. Concurrency and Computation: Practice and Experience, 33, e6283. https://doi.org/10.1002/cpe.6283 https://onlinelibrary.wiley.com/doi/10.1002/cpe.6283
- Kurdi, H., Alfaries, A., Al-Anazi, A., Alkharji, S., Addegaither, M., Altoaimy, L. and Ahmed. S.H. (2019) A lightweight trust management algorithm based on subjective logic for interconnected cloud computing. Journal of Supercomputing, 75, 3534-3554. https://doi.org/10.1007/s11227-018-2669-y
- Jøsang, A. and Simon, R. (2006) Trust Network Analysis with Subjective Logic. Angewandte Chemie International Edition, 6, 951-952.
- Kumar, R. and Goyal, R. (2021) Performance Based Risk Driven Trust (PRTrust): On Modeling of Secured Service Sharing in Peer-to-Peer Federated Cloud. Computer Communications, 183, 136-160. https://doi.org/10.1016/j.comcom.2021.11.013