Big Data Security: Detect and Prevent the Data from Attacks with Digital Forensic Tools

The main objective of this research is to defend big data against various cyberattacks. Today, it is commonplace to use big data security to safeguard data and analytical processes against malicious activity. Cybercriminals are increasingly using fraudulent calls and texts and other techniques to steal users' private information. Nowadays, these attacks are increasingly frequently online. This study has found various security technologies and strategies that are being utilized to make big data more secure from our prior research references. This study has also learnt about digital forensics tools that may be used to identify who, where, and how an attack was conducted. The fields of data science and cybersecurity are combined in this study. Detecting attacks on big data and ensuring and mitigating data security using cybersecurity and digital forensics techniques are the key goals of this study.