Abstract
The need of cloud services are rapidly increased due to resource constraints in storing the data in local environment. With that the need for securing the information stored in the cloud environment is also emerge as another important task. The users need a secure and trusted system to store and retrieve the data with cost consumption. And also, there is need to evaluate the trust value of the service provider. While the server scheduling the task to the user, it has to check the trust of service provider. In this work, the trust value of the service provider is evaluated by enhancing the standard Genetic Algorithm with Intelligent Rules. It makes the proposed system which evaluates the trust based on the parameters such as reputation, accreditation, service availability, auditing and self-assessment. Intelligent rules are included here which influences the SGA with single parameter. Specifically, the rules are applied here to predict the unpredictability using their dynamic solution providing strategy based on the Intelligent Rules helping to provides the solution to the complex dynamic systems where the most of unpredictability events occurs. Here, the Intelligent Rules combined with SGA to evaluate the trust value of the service providers either in cloud server or in cloudlets. Based on the trust value, the users can access the services without any hesitation.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Tian, LQ, Lin, C & Ni, Y 2010, ‘Evaluation of user behavior trust in cloud computing’. International Conference on Computer Application and System Modeling (ICCASM), IEEE.vol. 7, pp. V7–567
Habib, SM, Ries, S &Muhlhauser, M 2011, ‘Towards a trust management system for cloud computing’. IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications, pp. 933–939
Selvakumar, K., SaiRamesh, L., Sabena, S., & Kannayaram, G. (2019). Cloud Computing-TMACS: A robust and verifiable threshold multi-authority access control system in Public Cloud storage smart intelligent computing and applications (pp. 365–373). Springer
Chen, Z., Tian, L., & Lin, C. (2018). Trust evaluation model of cloud user based on behavior data. International Journal of Distributed Sensor Networks, 14(5), 1–10
Wu, X. (2018). Study on trust model for multi-users in Cloud computing. IJ Network Security, 20(4), 674–682
Ghazizadeh, E., & Cusack, B. (2018). Evaluation theory for characteristics of cloud identity trust framework cloud computing-technology and practices. IntechOpen
SaiRamesh, L., Sabena, S., Thangaramya, K., & Kulothungan, K. (2016). Trusted multi-owner data sharing among dynamic users in public cloud. Australian Journal of Basic and Applied Sciences, 10(2), 315–319
Bendale, Y., & Shah, S. (2013). User level trust evaluation in cloud computing’. International Journal of Computer Applications, 69(24), 31
Govindaraj, P., & Jaisankar, N. (2017). A review on various trust models in Cloud environment. Journal of Engineering Science & Technology Review, 10(2), 213
Li, X., He, J., Zhao, B., Fang, J., Zhang, Y., & Liang, H. (2016). A method for trust quantification in cloud computing environments. International Journal of Distributed Sensor Networks, 12(2), 502–14
Li, Y., Dai, W., Ming, Z., & Qiu, M. (2016). Privacy protection for preventing data over-collection in smart city. IEEE Transactions on Computers, 65(5), 1339–1350
Reshmi, V. S., & Challagidad, P. S. (2017). Secured trust model in Cloud Computing-A review. International Journal of Engineering Research & Technology (IJERT), 5(06), 1–5
Sathiyavathi, V., Reshma, R., Parvin, S. S., SaiRamesh, L., & Ayyasamy, A. (2019). Dynamic trust based secure multipath routing for mobile ad-hoc networks intelligent communication technologies and virtual mobile networks (pp. 618–625). Springer
Kamalanathan, S., Lakshmanan, S. R., & Arputharaj, K. (2017). Fuzzy-clustering-based intelligent and secured energy-aware routing handbook of research on fuzzy and rough set theory in organizational decision making (pp. 24–37). IGI Global
Chen, Z., Tian, L., & Lin, C. (2018). Trust evaluation model of cloud user based on behavior data. International Journal of Distributed Sensor Networks, 14(5), 1550147718776924
Nagarajan, Rajganesh, S. Selvamuthukumaran, and Ramkumar Thirunavukarasu. "A fuzzy logic based trust evaluation model for the selection of cloud services" In 2017 International Conference on Computer Communication and Informatics (ICCCI), pp. 1–5. IEEE, 2017
Jaithunbi, A. K., Sabena, S., & Sairamesh, L. (2019). "Secure and energy efficient data sharing in Public Cloud through mobile devices. Journal of Electrical Engineering, 19(4), 9–9
Wang, T., Luo, H., Jia, W., Liu, A., & Xie, M. (2019). MTES: An intelligent trust evaluation scheme in sensor-cloud-enabled industrial Internet of Things. IEEE Transactions on Industrial Informatics, 16(3), 2054–2062
Hassan, H., El-Desouky, A. I., Ibrahim, A., El-Kenawy, El.-S.M., & Arnous, R. (2020). Enhanced QoS-based model for trust assessment in cloud computing environment. IEEE Access, 8, 43752–43763
Selvakumar, K., & Sai Ramesh, L. (2021). Fuzzy expert system-based node trust estimation in wireless sensor networks inventive computation and information technologies (pp. 435–444). Springer
Jayakumar, J., Sairamesh, L., Pandiyaraju, V., Muthurajkumar, S., & Rakesh, R. (2015). Secure data storage using decentralized access control in cloud. Advances in Natural and Applied Sciences, 9(6SE), 192–197
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they do not have any conflict of interests.
Human and Animal Rights
This research does not involve any human or animal participation. All authors have checked and agreed the submission.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Jaithunbi, A.K., Sabena, S. & SaiRamesh, L. Trust Evaluation of Public Cloud Service Providers Using Genetic Algorithm with Intelligent Rules. Wireless Pers Commun 121, 3281–3295 (2021). https://doi.org/10.1007/s11277-021-08876-4
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-021-08876-4