| Title | Evaluation of Performance for Big Data Security Using Advanced Cryptography Policy |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Banasode, Praveen, Padmannavar, Sunita |
| Conference Name | 2021 International Conference on Forensics, Analytics, Big Data, Security (FABS) |
| Keywords | Advanced Cryptography Policy-ACP, authentication, Collaboration, Data analysis, data analytics, data privacy, Data security, e-commerce, policy-based governance, privacy, Privacy Preservation Technique, pubcrawl, Remote authentication, Retail and Supply Chain, Security Policies Analysis, statistical analysis, supply chain management, Supply chains |
| Abstract | The revolution caused by the advanced analysis features of Internet of Things and big data have made a big turnaround in the digital world. Data analysis is not only limited to collect useful data but also useful in analyzing information quickly. Therefore, most of the variants of the shared system based on the parallel structural model are explored simultaneously as the appropriate big data storage library stimulates researchers' interest in the distributed system. Due to the emerging digital technologies, different groups such as healthcare facilities, financial institutions, e-commerce, food service and supply chain management generate a surprising amount of information. Although the process of statistical analysis is essential, it can cause significant security and privacy issues. Therefore, the analysis of data privacy protection is very important. Using the platform, technology should focus on providing Advanced Cryptography Policy (ACP). This research explores different security risks, evolutionary mechanisms and risks of privacy protection. It further recommends the post-statistical modern privacy protection act to manage data privacy protection in binary format, because it is kept confidential by the user. The user authentication program has already filed access restrictions. To maintain this purpose, everyone's attitude is to achieve a changing identity. This article is designed to protect the privacy of users and propose a new system of restoration of controls. |
| DOI | 10.1109/FABS52071.2021.9702689 |
| Citation Key | banasode_evaluation_2021 |
Evaluation of Performance for Big Data Security Using Advanced Cryptography Policy