Assessing the Effectiveness of Multi-Factor Authentication in Cloud-Based Big Data Environments

Abstract

There is increasing popularity of Big data and cloud computing in recent years, and it is offering both individuals and businesses a number of advantages. But as data volume and complexity rise, data security and privacy have become a serious problem. In order to safeguard sensitive data stored in the cloud from sophisticated cyberattacks, it is crucial to have strong security measures in place. Although multi-factor authentication (MFA) has gained popularity as a security mechanism, Because of the lack of in depth analysis of its efficacy in large data systems based in the cloud is not fully known. In order to determine if MFA is effective in large data environments based on the cloud, this study will examine how well it can defend against different types of cyberattacks. The study will analyze the benefits and drawbacks of MFA in this situation as well as the trade-offs that must be made between security and usability when putting this security measure into place. This study aims to evaluate the efficacy of MFA in cloud-based big data environments in order to offer insightful recommendations for the most effective ways to secure sensitive data in the cloud.