Artificial Intelligent Systems and Machine Learning

Dr. P. Priyanga ¹, A. Vishnu Harithas ¹, Shreyas Muniyappa ¹, M. Surya Pratap ¹, Triambak S Bharadwaj ¹

Affiliations
1 no, IN

Abstract

The phishing process is a huge threat to society these days. These websites target human information rather than hacking into our systems. It is a process where the criminal attacks a victim online to obtain the victim’s data. Nowadays, phishing is one of the massive attacks on the users of the World Wide Web. Each time an attacker will use a new technique new way to attack a user. Hence, it is needful to have a real-time solution that is fast, reliable, and mainly efficient. Here, we develop a system that is efficient and reliable and which is adaptive to the changing environment. URLs are unique for all the websites also it is an identity of a website, so here we use the URL data as input and identify a phishing website and help the users from getting phished. This project offers an intelligent system that identifies a phishing website. The system uses the Logistic Regression technique for identification. Since the Logistic Regression technique has reportedly has good performance in classification it has been selected.

Keywords

-Phishing, Anti-Phishing, Websites, Detection, Identification, Legitimate.

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