Critical Information Framework against Cyber-Attacks using Artificial Intelligence and Big Data Analytics

Abstract

The study explores for the cyber security analysts to forecast, detect, describe, and deal with security risks, they depend on massive amounts of security information and event information collected from various sources. These researchers must be able to comprehend and sound right of these massive datasets in order to uncover connections that will allow them to make informed decisions and provide cautions about potential risks in advance, and this capacity will only be achieved via automated processes. In the field of cyber protection, big data analytics & artificial intelligence may make a difference. Massive data sets including a variety of various data kinds are subjected to big data analytics techniques. The goal is to identify patterns, correlations, tendencies, as well as other relevant information. In artificial intelligence, algorithms that can reason or learn and modify their behavior are provided. Definitional technologies are included in this category. Today, an enormous number of autonomous systems are based on grammatical rules, which are typically not smart enough to cope with the degree of complexity present in this field. An introduction of artificial intelligence and big data technologies in cyber defense is offered, as well as identification and discussion of relevant topics for upcoming study in this field.