1.
3rd IEEE India Council International Subsections Conference, INDISCON 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2052026
ABSTRACT
People are being compelled to adopt a "work from home"strategy because of the COVID-19 outbreak. In today's world, the Internet has evolved into a powerful tool for social connection. People's reliance on digital platforms creates opportunities for deception. Phishing websites are one of the types of internet security issues that target human vulnerabilities rather than software flaws. It is defined as the act of impersonating someone else to steal sensitive information such as usernames and passwords from online users. In this research, we provide an intelligent system for identifying phishing websites that work as an extension to an internet browser and automatically warn the user when a phishing website is detected. © 2022 IEEE.