A MACHINE LEARNING BASED-APPROACH FORDETECTION OF PHISHING SITES

A MACHINE LEARNING BASED-APPROACH FORDETECTION OF PHISHING SITES

Dr. Mohamadi Begum Y, B. Uday Jaswanth Reddy, Ch. Raghu Ram Reddy, K.TEJA, B. Mounika, G. Yasaswitha

ABSTRACT - Individuals and companies have suffered considerable losses as a result of the growth in phishing attempts, and is concerned about data privacy and confidentiality. Current phishing detection technologies are unable to keep up with the rising number of attacks, and more efficient solutions are required. This study presents a unique machine learning-based phishing detection technique to address this issue. This study examines the limitations of the already developed methods in detecting attacks and suggests a new innovative approach .In machine learning processing, Kaggle dataset is used. To detect phishing attempts, the proposed model utilises machine learning techniques. In the end, this study presents a promising new approach to phishing detection that has the potential to increase the efficiency and accuracy of existing detection approaches.

Keywords Phishing attack, Machine learning, Spam