Arithmetic Optimization Algorithm Based Feature Selection Approach for Malicious URL Detection
Nawaf Abdualaziz Almolhis · 2022
Today, web applications are the most cost-effective manner of software delivery and they are used by a wide range of businesses and organizations to provide their services over the internet. However, due to the huge number of users who can access these websites; make them vulnerable and easily targeted by different forms of attacks. This paper uses Arithmetic Optimization Algorithm (AOA) as a Feature Selection (FS) based approach to select optimal and informative Feature subset. The AOA is validated on an open source dataset for the detection of malicious URLs. Overall results show that the AOA gained better performance outcomes and faster than other compared to Particle Swarm Optimization, Multi-Verse Optimizer and Salp Swarm Algorithm FS methods.