Cyber Attack Detection in Network Utilising Machine Learning Approach

Abstract

In contrast to earlier times, advancements in communication and computer technology have brought about significant and all-encompassing changes. People, businesses, and governments all profit greatly from the use of new innovations, even when some of them work against them. For example, information accessibility, security of stored data, and protection of critical information stages. Among these issues, digital despotism based on fear is now one of the most significant. Digital anxiousness, which has caused many issues for people and organizations, has escalated to a point where many occurrences, such as criminal associations, competent persons, and digital activists, might jeopardize open and national security. In this regard, intrusion detection systems (IDS) have been created to strategically avoid cyberattacks.