A Survey of Various Encryption Techniques in Multi Cloud to Reduce Information Leakage

Authors

  • Geetinder Saini, Navdeep Kaur

Keywords:

Multi Cloud, Data Leakage, Encryption Techniques, Data security

Abstract

Unintentionally revealing private data is known as data leakage. In the context of cloud data warehousing, a malicious insider with data access can utilize cross-database correlations and repetitive database queries to deduce sensitive information. This particular security threat has not received sufficient attention in the past.  As the volume of data in public clouds continues to grow, the impact of information leaks is anticipated to escalate. The data leakage can be reduced using encryption techniques in multi cloud. In this paper, various encryption techniques for data leakage reduction are reviewed and examined in light of specific criteria.

Downloads

Download data is not yet available.

References

Liu, Y., Lou, W., & Hou, Y. T. (2013). “A Survey of Cryptographic Approaches to Secure Cloud Data Storage” IEEE Communications Surveys & Tutorials, 15(2), 843-859.

Chang, Y. C., & Lin, T. Y. (2014). A Hybrid Encryption Scheme for Secure Cloud Storage Services. Journal of Systems and Software, 92, 25-34.

Martínez, S. G., Choo, K. K. R., & Ashman, H. (2016). A Taxonomy and Survey of Cloud Computing Systems. International Journal of Information Management, 36(4), 605-617.

Fan, J., & Chow, S. S. M. (2016). Secure Multi-Party Computation for Privacy-Preserving Data Analysis in Multi-Cloud Environments. IEEE Transactions on Parallel and Distributed Systems, 27(2), 381-394.

Jin, H., Wang, S., & Wang, Q. (2017). A Secure Multi-Cloud Data Sharing Scheme Based on Homomorphic Encryption. 2017 IEEE Trustcom/BigDataSE/ICESS, 215-222.

Chen, X., Zhang, L., & Xiang, Y. (2017). Secure Multi-Keyword Search with User-Defined Search Results over Encrypted Cloud Data. IEEE Transactions on Cloud Computing, 5(2), 264-278.

Zhang, X., Li, X., Chen, Y., & Zhang, L. (2021). Securing Multi-Cloud Data Processing with Homomorphic Encryption. Future Generation Computer Systems, 117, 67-78.

Duan, R., Yu, Z., Liang, H., & Jia, J. (2019). Efficient Multi-Cloud Data Sharing with Homomorphic Encryption. 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 280- 287.

A. Tchernykh et al., "Data Reliability and Redundancy Optimization of a Secure Multi-cloud Storage Under Uncertainty of Errors and Falsifications," 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Rio de Janeiro, Brazil, 2019, pp. 565-572, doi: 10.1109/IPDPSW.2019.00099.

Zhang, Y., Wu, X., Zhu, X., & Zhang, W. (2018). Multi-Cloud Computing with Secure Data Sharing using Homomorphic Encryption. 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 140- 147.

Rane, M. S., Yavari, A., & Muppala, J. K. (2020). A Survey of Homomorphic Encryption for Secure Computation in Multi-Cloud Environments. Future Generation Computer Systems, 105, 192-209.

S. Zhou, G. Chen, G. Huang, J. Shi and T. Kong, "Research on multi-authority CP-ABE access control model in multicloud," in China Communications, vol. 17, no. 8, pp. 220-233, Aug. 2020, DOI: 10.23919/JCC.2020.08.018

K. V. Nil, “Data Leakage Optimization in Multi-cloud Storage Services”, International Journal of Computer Applications, vol. 175, no. 16, pp. 43- 47, September 2020, DOI: 10.5120/ijca2020920668

W. Shi, H. Wang, L. Wang, and Z. Qin, "Enhancing Security of Multi-Cloud Storage Systems through Erasure Code and AES Encryption," Journal of Cloud Computing: Advances, Systems and Applications, vol. 9, no. 1, p. 55, 2020.

N. A. Tolasa, A. M. Negi, R. Gaur, and S. S. Tyagi, "StoreSim: Mitigating Information Leakage in Multi-Cloud Storage," in Proceedings of the International Conference on Cloud Computing and Big Data Analysis, 2020, pp. 120-126.

L. Megouache, Y. Kadi, and D. Zeghlache, "A Framework for Secure and Authentic Data Distribution in Multi-Cloud Environment," IEEE Transactions on Cloud Computing, 2020.

F. Shahid, Z. Tari, and S. Kanhere, "Proficient Security over Distributed Storage Technique for Multi-Cloud Environment," Journal of Cloud Computing: Advances, Systems and Applications, vol. 9, no. 1, p. 68, 2020.

W. Shi, H. Wang, L. Wang, and Z. Qin, "Enhancing Security and Reliability of Multi-Cloud Storage Systems," IEEE Transactions on Dependable and Secure Computing, 2020.

J. Yao, B. Zhang, and Y. Liu, "Robust Data Storage Scheme for Multi-Cloud Backup System," IEEE Transactions on Services Computing, 2020.

S. Zhou, Y. Wu, and Y. Sun, "CP-ABE Access Control Algorithm for Multi- Cloud Storage," IEEE Transactions on Cloud Computing, 2020.

T. Dinh, C. Liu, and C. Zhang, "Practical Multi-Cloud Computation with Homomorphic Encryption," arXiv preprint arXiv:2106.14040, 2021.

X. Zhang, X. Li, Y. Chen, and L. Zhang, "Securing Multi-Cloud Data Processing with Homomorphic Encryption," Future Generation Computer Systems, vol. 117, pp. 67-78, 2021.

H. Zhu, X. Sun, L. Liu, and X. Han, "Hybrid Homomorphic Encryption for Multi-Cloud Data Analytics," International Journal of Distributed Sensor Networks, vol. 17, no. 4, p. 15501477211011144, 2021.

V. Miranda-López, J. Villalba-Díez, and A. G. López-Herrera, "2Lbp- RRNS: Two-Level Backpropagation Algorithm for Error Detection and Correction in RRNS," IEEE Transactions on Computers, 2021.

R. Maher, S. Shirazipourazad, M. Bakhouya, and A. G. López-Herrera, "DropStore: A Fog Computing-Based Backup Model for Multi-Cloud Environment," IEEE Transactions on Cloud Computing, 2021.

M. Sohal, K. Thapar, and A. Kumar, "Client-Side Cryptography for Secure Multi-Cloud Data Storage," in Proceedings of the International

Conference on Cloud Computing and Big Data Analysis, 2022.

G. P. Kanna, R. Dhatchayani, and S. Ramathilagam, "RSDM-ACPAR: Rule-Based Statistical Disclosure Method for Access Restriction in Multi- Server Cloud Model," IEEE Transactions on Cloud Computing, 2022.

Y. Ameur, K. Salah, and L. Khoukhi, "Innovative Framework for Secure Electronic Health Records in Multi- Cloud Environment," IEEE Transactions on Cloud Computing, 2023

Downloads

Published

12.06.2024

How to Cite

Geetinder Saini. (2024). A Survey of Various Encryption Techniques in Multi Cloud to Reduce Information Leakage. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 3262–3273. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/6819

Issue

Section

Research Article