| Title | Privacy preserving Data security model for Cloud Computing Technology |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Priya, M Janani, Yamuna, G |
| Conference Name | 2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) |
| Keywords | Cloud Auditing, cloud computing, compositionality, Computational modeling, Computers, cryptography, Data models, data privacy, Data security, encryption audits, hybrid modeling, machine learning, machine learning algorithms, Metrics, privacy, privacy preserving, pubcrawl, resilience, Resiliency |
| Abstract | New advancements in cloud computing technology enable the usage of cloud platforms for business purposes rapidly increasing every day. Data accumulation related to business transactions, Communications, business model architecture and much other information are stored in the cloud platform and access Dubai the business Associates commonly. Considering the security point of view data stored in the cloud need to be highly secured and accessed through authentication. The proposed system is focused on evaluating a cloud integrity auditing model in which the security and privacy preserving system is being audited, privacy is decided using a machine learning algorithm. The proposed model is developed using a hybrid CatBoost algorithm (HCBA) in which the input data is stored into the cloud platform using Bring your own encryption Key (BYOEK). The security of BYOEK model is evaluated and validated with respect to the given test model in terms of Execution time comparison Vs. Data transactions. |
| DOI | 10.1109/ICSTSN53084.2022.9761350 |
| Citation Key | priya_privacy_2022 |
Privacy preserving Data security model for Cloud Computing Technology