Rashmi M. Jogdand

dblp:161/9158 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0001-7636-1038ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 2 since 2021
YearPublicationVenuePosition
2023 Performance analysis of privacy preservation-based authentication scheme and cryptographic-based data protocols for DSaC in cloud
abstract
Advanced technology is the cloud computing that has the ability to preserve massive amount of data and shares the data resources over the internet. Cloud computing has a wide range of applications like business fields, software infrastructure, government agencies, and financial industries. The main challenging factors in cloud computing are data privacy and security. Such issues are addressed through the developed method named privacy preservation-based data security that secure protocol for data storage that is distributed and communication (DSaC) in the cloud such that this method provides effective authentication and secure data storage in cloud. An effective performance analysis is done between privacy preservation-based data security approach for authenticated encrypted access and secure data protocol for DSaC in cloud and the approaches are compared with the traditional schemes like Ins-PAbAC, homomorphic proxy re-encryption (HPRE), LAM-CIoT, SA-EDS, advanced encryption standard (AES) and data encryption standard (DES).
Ankush Balaram Pawar, Shashikant U. Ghumbre, Rashmi M. Jogdand
Int. J. Inf. Comput. Secur.3
2022 Performance Analysis and Systematic Review of Privacy Preservation-Based Authentication Models and Cryptographic-Based Data Protocols
abstract
This paper proposes a privacy preservation-based data security and secure data protocol for distributed Data Storage and Communication (DSaC). An effective performance analysis is done between privacy preservation-based data security approach for authenticated encrypted access and secure data protocol for DSaC in cloud and the approaches are compared with the traditional schemes like Ins-PAbAC, Homomorphic Proxy Re-encryption (HPRE), LAM-CIoT, SA-EDS, Advanced Encryption Standard (AES), and Data Encryption Standard (DES). The proposed privacy preservation approach achieved a minimum time of 12614ms, maximum detection rate of 0.985, maximum privacy factor of 0.645, maximum TPR of 0.785, and maximum TNR of 0.777 for Switzerland dataset and the ACS-based secure data protocol achieved a minimum time of 5527ms, maximum detection rate of 0.953, minimum E2E delay of 85, maximum TPR of 0.817, and maximum TNR of 0.754 for Cleveland dataset.
Ankush Balaram Pawar, Shashikant U. Ghumbre, Rashmi M. Jogdand
Int. J. Inf. Secur. Priv.3