| Title | Proposing Innovative Perturbation Algorithm for Securing Portable Data on Cloud Servers |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Chaturvedi, Amit Kumar, Chahar, Meetendra Singh, Sharma, Kalpana |
| Conference Name | 2020 9th International Conference System Modeling and Advancement in Research Trends (SMART) |
| Date Published | Dec. 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-8908-6 |
| Keywords | cloud, cloud computing, data privacy, decryption, Encryption, Metrics, Noise addition, perturbation, Perturbation methods, privacy, Program processors, pubcrawl, resilience, Resiliency, Scalability, security, Servers, Technological innovation, Tools, user privacy, user privacy in the cloud |
| Abstract | Cloud computing provides an open architecture and resource sharing computing platform with pay-per-use model. It is now a popular computing platform and most of the new internet based computing services are on this innovation supported environment. We consider it as innovation supported because developers are more focused here on the service design, rather on arranging the infrastructure, network, management of the resources, etc. These all things are available in cloud computing on hired basis. Now, a big question arises here is the security of data or privacy of data because the service provider is already using the infrastructure, network, storage, processors, and other more resources from the third party. So, the security or privacy of the portable user's data is the main motivation for writing this research paper. In this paper, we are proposing an innovative perturbation algorithm MAP() to secure the portable user's data on the cloud server. |
| URL | https://ieeexplore.ieee.org/document/9336805 |
| DOI | 10.1109/SMART50582.2020.9336805 |
| Citation Key | chaturvedi_proposing_2020 |
Proposing Innovative Perturbation Algorithm for Securing Portable Data on Cloud Servers