Study of Machine Learning Algorithms for Detecting Web Bot

Nowadays, automation software systems play a crucial role in assisting humans with specific tasks, particularly in online communication for timely interactions. However, the misuse of such systems poses risks, impacting website performance, leading to data access violations, or even posing threats to the system's security. To address these challenges, an automatic software inspection system has been developed as a prototype, aimed at preventing potential issues in the online domain. Machine learning algorithms are employed to enhance detection accuracy, with the decision tree algorithm demonstrating a maximum accuracy of 97.4%. This promising result suggests its suitability for further development into a JavaScript library, offering a valuable resource for future website applications.