Title | A Meta-Analysis of Efficient Countermeasures for Data Security |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | M, Deepa, Dhiipan, J. |
Conference Name | 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) |
Date Published | dec |
Keywords | Companies, compositionality, data attacks, data protection, Data security, encryption audits, feature extraction, machine learning algorithms, Metrics, pubcrawl, renewable energy sources, resilience, Resiliency, security risks, security vulnerabilities, sensitive data, threats, Training data |
Abstract | Data security is the process of protecting data from loss, alteration, or unauthorised access during its entire lifecycle. It includes everything from the policies and practices of a company to the hardware, software, storage, and user devices used by that company. Data security tools and technology increase transparency into an organization's data and its usage. These tools can protect data by employing methods including encryption and data masking personally identifiable information.. Additionally, the method aids businesses in streamlining their auditing operations and adhering to the increasingly strict data protection rules. |
DOI | 10.1109/ICACRS55517.2022.10029302 |
Citation Key | m_meta-analysis_2022 |