Abstract

The way in which companies process and leverage large swaths of information has completely changed due to Big Data technologies. Furthermore, these technologies have also created new openings for global hackers who aim to compromise the hefty vaults of information. The sheer scale and complexity of Big Data systems and their frameworks have made them difficult to assault, which has also opened them up to a variety of attacks. For instance, cybercriminals deploy various forms of malware, such as viruses and worms, that erode the integrity of the information. Alternatively, perpetrators use aggressive approaches, sometimes relying on victims to go outside their networks and expose their critical information. Their vulnerability often increases due to an absence of powerful encryption, which can further increase their susceptibility by focusing on the complexity of these systems. The effects of such attacks are significant and extend far beyond merely operational continuity. Even greater problems relate to an organization's confidentiality and the integrity of its data. However, by focusing on advanced threat detection methods, stronger access controls, and encrypted Big Data systems, organizations should be at least partially able to reduce these threats. Moreover, some semblance of the current security may be maintained throughout the Big Data systems' lifetimes. As society increasingly relies on large-scale data processing, it becomes essential to overcome the unique obstacles presented by cyber threats. Doing so ensures that these critical systems can continue to operate efficiently and reliably.