Review of the Mechanisms Used to Protect the Big Data from Attacks

This study primarily aims to protect large data from different types of assaults. The deployment of big data security measures to prevent unauthorized access to data and analytics is becoming standard practice. More and more, cybercriminals are stealing consumers' personal information via deceptive phone calls, messages, and other methods. An rising number of these assaults are happening online these days. In order to make big data more safe, this study has uncovered a variety of security technologies and tactics that are currently being used. Additionally, this research has gained knowledge on digital forensics technologies that may help determine the who, what, and where of an assault. This project brings together data science and cyber security. Key objectives of this project include using cyber security and digital forensics tools to detect assaults on large data and to ensure and mitigate data security.