A Systematic Literature Review on Security Challenges In A Hybrid Cloud Database

  • Abstract
  • Keywords
  • References
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  • Abstract

    Cloud computing paved the way to many technical facilities for companies to develop their business needs in more effective and efficient manner. Combining private and public cloud into so called Hybrid cloud has made a positive leap in business by allowing applications and data to be shared among enterprises. However, many challenges and issues have arisen when adopting the hybrid cloud to manage, store and process data. The most critical one of these challenges is the security of the adopted Hybrid cloud. This research presented a comprehensive study about the security challenges in the Hybrid cloud computing as well as the suggested solutions. The study used a Systematic Literature Review (SLR) process to collect, review and summarize published articles from IEEE and Springer Nature databases and between 2020 and 2021. As a result, there were 7 eligible articles selected according to the search criteria and fully reviewed. The findings have revealed that there are four main challenges which are Data Security, Access Control, Privacy, Data Leakage and Cy- ber Attacks. Future studies should be conducted using different databases to have further investigation regarding the security in Hybrid clouds.

  • Keywords

    Cloud, Hybrid, Security, Systematic Literature Review, Privacy

  • References

      [1] Maniah, B.Soewito, F.Lumban Gaoland E. Abdurachman, “AsystematicliteratureReview:Risk analysis in cloud migration”, Journal of King Saud University - Computer and Information Sciences, 2021

      [2] J. Gong and N. Navimipour, “An in-depth and systematic literature review on the blockchain-based approaches for cloud computing”, Cluster Computing, 2021.

      [3] Latif R., Abbas H. , Assar S., Ali Q., ”Cloud Computing Risk Assessment: Asystematic Literature Review”, Park J., Stojmenovic I., Choi M., XhafaF. (eds) Future Information Technology.,Lecture Notes in Electrical Engineering, 2014, vol 276. Springer, Berlin, Heidelberg.

      [4]Pittway, L. ”Systematic literature reviews”, Thorpe, R. Holt, R. The SAGE dictionary of qualitative management research.,2008.

      [5]Khan, Siffat Ullah Ullah, Naeem., ”Challenges in the Adoption of Hybrid Cloud: An Exploratory Study using Systematic Literature Review.”The Journal of Engineering, 2016.

      [6] Sabir, Fatima Palma, Francis Rasool, Ghulam Gue ́he ́neuc,Yann-Gae ̈l Moha, Naouel, “A systematic literature review on the detection of smells and their evolution in object-oriented and service-oriented systems”, Soft- ware: Practice and Experience, 2018

      [7] M. Joshi, N. Tewari and S. K. Budhani, “Security Challenges in Implementing a Secured Hybrid Cloud Model for e- Health Services”, 2020 9th International Conference System Modeling and Advancement in Research Trends (SMART), 2020, pp. 3-7.

      [8] Atiewi, Saleh, Amer A. AlRahayfeh, Muder Almiani, Salman Yussof, Omar Alfandi, Ahed Abugabahand Yaser Jararweh, ”Scalable and Secure Big Data IoT System Based on Multifactor Authentication and Lightweight Cryptogra- phy.”, IEEE Access 8 , 2020

      [9] Z. Lian, M. Su, A. Fu, H. Wangand C. Zhou, ”Proxy ReEncryption Scheme For Complicated Access Control Factors Description in Hybrid Cloud”, ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020, pp. 1-6.

      [10] L. Yong, L. Hefei, S. Xiujuan, Y. Binand W. Kun, ”Keyword Semantic Extended Top k Ciphertext Retrieval Scheme Over Hybrid Government Cloud Environment” IEEE Access, vol. 9, pp. 155249-155259, 2021.

      [11]A. Dutta, R. Bose, S. K. Chakraborty, S. Royand H. Mondal, “Data Security Mechanism for Green Cloud”, 021 Innovations in Energy Management and Renewable Resources(52042), 2021, pp. 1-4

      [12] Rd, R. Dhanapal.,“An Attribute Based Encryption Scheme with Dynamic Attributes Supporting in the Hybrid Clouds”, Proceedings of the Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2020

      [13] Praveena, D., Rangarajan, ”A machine learning application for reducing the security risks in hybrid cloud networks”, Multimed Tools Appl 79,5161–5173, 2020




Article ID: 31911
DOI: 10.14419/ijet.v11i1.31911

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