Ensemble model for Detecting Phishing and Trojan using Latest Machine Learning Techniques
Rahul Agrawal, Sandeep Rathor, Khushabu Agrawal · 2023
Machine learning is significant fourth industrial revolution technology that may be habitual to defend Internetconnected devices against cyber threats, assaults, damage, or illegal access. Cyber security computing may become more automated and intelligent than conventional security systems due to security intelligence modeling. Using an ensemble model of machine learning and deep learning, the objective of the proposed work is to identify phishing and Trojan attacks. In this ensemble method, we used the VGG-16 and Random Forest classifier and evaluate the performance to detect the attack. In this work, we have also shown the comparison of the proposed method with the existing attack.