article · International Journal of Engineering and Advanced Technology · 2020
Protecting Data Privacy in Cloud
Masarath Begum, Mohammed Abdul Waheed
Cited by 1Open access
Abstract
Cloud is now widely used for the remote storage of data; it’s an On-demand device and computer resource configuration process. This allows users to avoid locally saving and storing data. Remote data sharing is an inexpensive and effective way to share cloud users community resources. DiffieHellman used the previous approach to protect multi-owner cloud sharing for distributed groups. In the existing system, there is a community signature shared among all group members that contributes to the middle attack. The program suggested using the LFSR-dependent correlation method, which primarily used handshake protocol to safely exchange community signature to detect the attack, to detect an attack. If the calculated value exceeds one (value>1), the community's public key is changed to avoid abuse.
Cite this paper
Begum, M., & Waheed, M. A. (2020). Protecting Data Privacy in Cloud. International Journal of Engineering and Advanced Technology, 9(3), 3601–3604. https://doi.org/10.35940/ijeat.c6096.029320
Begum, Masarath, and Mohammed Abdul Waheed. “Protecting Data Privacy in Cloud.” International Journal of Engineering and Advanced Technology, vol. 9, no. 3, 2020, pp. 3601–04, https://doi.org/10.35940/ijeat.c6096.029320.
Begum, Masarath, and Mohammed Abdul Waheed. 2020. “Protecting Data Privacy in Cloud.” International Journal of Engineering and Advanced Technology 9 (3): 3601–04. https://doi.org/10.35940/ijeat.c6096.029320.
Begum, M. and Waheed, M.A. (2020) ‘Protecting Data Privacy in Cloud’, International Journal of Engineering and Advanced Technology, 9(3), pp. 3601–3604. Available at: https://doi.org/10.35940/ijeat.c6096.029320.
@article{begum2020protecting,
title = {{Protecting Data Privacy in Cloud}},
author = {Begum, Masarath and Waheed, Mohammed Abdul},
journal = {International Journal of Engineering and Advanced Technology},
volume = {9},
number = {3},
pages = {3601--3604},
year = {2020},
doi = {10.35940/ijeat.c6096.029320}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.