Year: 2025
Type: article
Abstract: Phishing attacks are one of the most common attacks where the attacker tries to steal sensitive information of one individual like user names, passwords, credit card numbers, or other personal data, by manipulating the user by behaving as a legitimate request. These attacks are considered a threat as they involve losing valuable information. In this research analysis visual cryptography is utilized to enhance website authentication mechanisms so that when a user visits a website, the system automatically compares the visual cryptographic shares from the legitimate server and the client’s browser. By integrating this cryptographic technique, the ML model helps better identify these attacks before any loss occurs by making it difficult for attackers. The primary objective of this study is to integrate visual cryptography with machine learning so that predictions are better. Index Terms - Phishing attacks, visual cryptography, machine learning.
DOI: 10.55041/ijsrem43560
Authors: S.V.V.D.Venu Gopal, Didde Keerthika, Mavuri Rajasri, Vanapalli Bhavani, Chinnala SatyaUma
Language: English
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409108712