Abstract: A datacenter in a cloud environment houses a massive quantity of data in a distributed manner. However, with the increasing number of threats like data deduplication attack over the cloud environment, it is quite challenging to ascertain data's full-fledged security. In this regard, data integrity and security are highly questionable. A review of existing literature shows that the existing solutions are not much suitable to meet the requirements and support the existing distributed storage system's security demands concerning data integrity due to the usage of the inferior authentication mechanism. Also, the most frequently used public-key encryption is found not to be purely suitable resource constraint devices. Therefore, this manuscript presents a unique model of authentication of data where a simplified hashing proposition has been designed towards scheduling a distributed chain of data. The idea is to perform dynamic authentication that is present of any form of the adversary. The design of proposed scheme is lightweight which offers cross-verifiable hash-based challenges matching scheme with the provision of the non-repudiation of the tractions using the inclusion of a cloud auditor units. The experiment was carried on numerical computing tool considering, data volume, verification count and verification delay as prime performance metrics. The simulation outcomes shows that the proposed system excels in better security performance as well it is flexible compared to the existing system.

Anil Kumar G and Shantala C.P, “Novel Modelling of the Hash-based Authentication of Data in Dynamic Cloud Environment” International Journal of Advanced Computer Science and Applications(IJACSA), 12(3), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120333

@article{G2021,
title = {Novel Modelling of the Hash-based Authentication of Data in Dynamic Cloud Environment},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120333},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120333},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {3},
author = {Anil Kumar G and Shantala C.P}
}