Brij B. Gupta1,*, Akshat Gaurav2, Razaz Waheeb Attar3, Varsha Arya4, Shavi Bansal5, Ahmed Alhomoud6, Kwok Tai Chui7
CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4853-4874, 2024, DOI:10.32604/cmc.2024.057138
- 19 December 2024
Abstract Phishing attacks are more than two-decade-old attacks that attackers use to steal passwords related to financial services. After the first reported incident in 1995, its impact keeps on increasing. Also, during COVID-19, due to the increase in digitization, there is an exponential increase in the number of victims of phishing attacks. Many deep learning and machine learning techniques are available to detect phishing attacks. However, most of the techniques did not use efficient optimization techniques. In this context, our proposed model used random forest-based techniques to select the best features, and then the Brown-Bear optimization… More >
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