An Efficient Approach for Detecting Most Probable Attack in Networks using Analytic Hierarchy Process (AHP)

Abstract

Attackers use a variety of approaches to attack on a network, and they have a number of attack possibilities. On the other side, web designers find it challenging to organize the defense against each cyber assault. When faced with the requirement to choose one option from a list of options or rank them in order of severity, AHP (Analytical hierarchical Process) is a useful technique. Here, we strive to concentrate on certain significant attack types that are most offensively affecting online services, such as Cross-Site Scripting Attack, DDoS Attack, SQL Injection Attack, Man-in-the-Middle Attack, Side Channel Attack These prominent online web attack techniques were picked to determine the attack on a website that is most likely to occur. The suggested approaches provide a step-by-step process for identifying the most likely alternate that attackers might employ as a starting point. By using AHP we hence proved that the most probable web attack among the four attack is DDoS attack.