Title | A Security Model for the Enhancement of Data Privacy in Cloud Computing |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Sharma, Yoshita, Gupta, Himanshu, Khatri, Sunil Kumar |
Conference Name | 2019 Amity International Conference on Artificial Intelligence (AICAI) |
Keywords | Access Control, Ciphers, cloud computing, cryptography, cyberspace data, data confidentiality, data integrity, data privacy, Data security, Encryption, internet acts, Metrics, Organizations, privacy protection, pubcrawl, Resiliency, Scalability, security model, user privacy in the cloud |
Abstract | As we all are aware that internet acts as a depository to store cyberspace data and provide as a service to its user. cloud computing is a technology by internet, where a large amount of data being pooled by different users is stored. The data being stored comes from various organizations, individuals, and communities etc. Thus, security and privacy of data is of utmost importance to all of its users regardless of the nature of the data being stored. In this research paper the use of multiple encryption technique outlines the importance of data security and privacy protection. Also, what nature of attacks and issues might arise that may corrupt the data; therefore, it is essential to apply effective encryption methods to increase data security. |
DOI | 10.1109/AICAI.2019.8701398 |
Citation Key | sharma_security_2019 |