EFFICIENCY OF VISUALIZATION-BASED DATA ANALYSIS FOR HANDLING BIG DATA NETWORK SECURITY

The internet has been an integral part of business. The vast amounts of use data produced by users' interactions with the Web can be collected and used as information in a variety of applications. The industry and academic communities are paying more attention to web site regularities and trends in user navigation as web surfing becomes a more common task for more people around the world. Big data is highly large-scaled data in computer science, cognitive informatics, web-based computing, cloud computing, and computational intelligence in terms of quantity, complexity, semantics, delivery, and processing costs. The amount of information gathered on Web and mobile device usage is much larger. It is critical for scientific progress to be able to make use of and optimise the use of such massive volumes of web data for information discovery and decision-making; we need new methods for such large-scale web data mining. Visualization is a technique that has been proven to be useful in gaining information from large amounts of data. While Apache Hadoop and other applications emerge to support back-end challenges such as storage and retrieval, visualization-based data analysis platforms focus on the front end of big data, assisting companies in exploring and understanding the data more effectively.