Saeed M. Alshahrani1, Nayyar Ahmed Khan1,*, Jameel Almalki2, Waleed Al Shehri2
CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5625-5640, 2022, DOI:10.32604/cmc.2022.030982
- 28 July 2022
Abstract The continuous destruction and frauds prevailing due to phishing URLs make it an indispensable area for research. Various techniques are adopted in the detection process, including neural networks, machine learning, or hybrid techniques. A novel detection model is proposed that uses data mining with the Particle Swarm Optimization technique (PSO) to increase and empower the method of detecting phishing URLs. Feature selection based on various techniques to identify the phishing candidates from the URL is conducted. In this approach, the features mined from the URL are extracted using data mining rules. The features are selected… More >