Security Threats in Healthcare Big Data: A Comparative Study

Big data refers to large, complex datasets that are generated by businesses, organizations, and individuals in various sectors such as healthcare, finance, and government. These datasets can contain sensitive or confidential information, and their size and complexity can make them difficult to manage and protect. As such, big data is vulnerable to a variety of security threats that can compromise the integrity, availability, and confidentiality of the data. Some common security threats in big data like Data breaches, Data leakage, Data tampering, Data theft, To protect against these security threats, organizations generally implement robust security measures such as firewalls, intrusion detection and prevention systems, and data encryption. With the technology advancements and emerging technologies day by day of better security solutions being provided by community researchers and other stakeholders but Human-centric healthcare big data security is still critical a challenging. In this work we have explored the Big data security and existing solutions and present a comparative study of solutions to put forward possible best practices gaps considering zero trust is necessary compliance for healthcare big data for security importance.