Open AccessThe Conflict-Free Replicated Datatype Algorithm for Detecting E-Commerce Phishing Website
Author(s) -
Shonal Rath
Publication year - 2021
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst0709029
Subject(s) - phishing , credit card , visitor pattern , computer science , password , world wide web , the internet , internet privacy , personally identifiable information , internet users , trustworthiness , computer security , payment , programming language
By posing as a trustworthy company through electronic communication, a fraud effort is made to get sensitive and personalinformation such as passwords, usernames, and financial data such as credit/debit card numbers. The phishing website will seemjust like the real website and will send the visitor to a page on the malicious website where they will be asked to submit personalinformation. Machine learning techniques may be used to increase the accuracy of phishing website prediction. The suggestedtechnique predicts URL-based phishing websites using W3C-defined characteristics and provides the highest level of accuracy.This technique makes advantage of URL characteristics. Phishing site urls have certain characteristics, which we discovered.We are all experiencing a worldwide epidemic, which has resulted in a significant shift in people's lifestyles. People werecompletely unprepared for such an event. As a result, everyone has had a tough time dealing with the circumstance. However, aswe all know, life moves on, and individuals have changed their lifestyles and adapted to the present circumstances. As a result,the internet and online apps have become one of the most essential aspects of people's working environments. People's jobs arebecoming increasingly reliant on internet applications. As a result, the main concept is to alleviate the challenges thatprogrammers face in the IT industry.