Detecting and Analyzing Threats for Network Traffic Control using Machine Learning Approaches
Richa Mathur, Ritam Dutta · 2023
Today big data playing pivotal role in helping mankind with large amount of dataset that can be beyond human perception. Big data is ultra-fast and growing rapidly. This data is more valuable because it has hidden facts and insights after its process. But various challenges exist when we deal with such data with the help of traditional tools and technologies. Earlier the traditional network security solutions were insufficient to address different kinds of threats and network attacks. To resolve and restrict cyber threats and attacks is the most increasing concern in today's world of cyber security. With the advent of Machine Learning (ML) technology, an automated and up-to-date security system has been provided through which we can detect, analyze and secure data for network traffic and cyber security. In this paper, a comprehensive analysis on various machine learning algorithms have been investigated to identify the glitches and provides intelligent data analysis report and automation in cybersecurity to extract valuable insights from cyber data.