ITM Web of Conferences • Vol 57
A Hybrid Model for Detecting Phishing Attack Using Recommedation Decision Trees
January 2023 • Duncan Eric O. Ogonji, Wilson Cheruiyot, Waweru Mwangi
Phishing performs by trying to trick the victim into accessing any computing information which looks original, then instructing them to send important data to unrestricted/unwanted privacy resource. For prevention, it is essential to develop a phishing detection system. Recent phishing detection systems are based on data mining and machine learning techniques. Most of the related work literature require collection of previous phishing attack logs, analyze them and create a list of such activities and block traffic…