A Critical Investigation in Analysing the Main Factors Influencing the Network Security Strategies By Applying the Big Data Context Using Multivariate Analysis of Variance (MANOVA)

Organizations may use big data to analyze enormous and complicated information in order to uncover hidden trends and correlations, as well as to distribute information across a network. Information that travels via an organization's network is frequently delicate, necessitating the use of a platform that is both efficient and safe. As a result, network security has indeed been elevated to the beginning stages of consideration in the big data world. Consequently, network security systems must handle with a large amount of data that is both complicated and varied in order to detect and prevent possible threats in actual time. Unfortunately, since these systems are frequently built on old methodologies, they are problematic when it comes to protecting large amounts of information. In this article, we will primarily discuss network security and information protection solutions for large amounts of information. First and foremost, we discuss the elements that influence network security architecture in the Big Data world. Following that, we will discuss several big data solutions that allow for the protection of data throughout networks, as well as new study findings.