Phishing website detection based on machine learning: A survey

C Singh - 2020 6th International Conference on Advanced …, 2020 - ieeexplore.ieee.org
Phishing attacks are cybercrime in today's world which are done by social engineering and
malware based. It is one of the most dangerous threats that every individuals and …

Fraudulent e-commerce website detection model using html, text and image features

MN Kassim, MA Maarof… - Proceedings of the 11th …, 2020 - books.google.com
Many of Internet users have been the victims offraudulent e-commerce websites and the
number grows. This paper presents an investigation on three types of features namely HTML …

Intelligent malicious URL detection with feature analysis

YC Chen, YW Ma, JL Chen - 2020 IEEE Symposium on …, 2020 - ieeexplore.ieee.org
The website security is an important issue that must be pursued to protect Internet users.
Traditionally, blacklists of malicious websites are maintained, but they do not help in the …

Phishing website detection using Fast. ai Library

JV Jawade, SN Ghosh - 2021 International conference on …, 2021 - ieeexplore.ieee.org
In recent years, we see an enormous amount of increase in online activities whether it be for
using an internet banking services or for using social media or for education purpose. On …

Detection of malicious webpages using deep learning

AK Singh, N Goyal - 2021 IEEE International Conference on Big …, 2021 - ieeexplore.ieee.org
Malicious Webpages have been a serious threat on Internet for the past few years. As per
the latest Google Transparency reports, they continue to be top ranked amongst online …

Deep learning for phishing website detection

KSN Sushma, M Jayalakshmi… - 2022 IEEE 2nd Mysore …, 2022 - ieeexplore.ieee.org
Data security has become a major issue as digitalization across the world is rapidly
increasing. Personal information of the user is extracted and exploited using one of the …

Fraudulent e-commerce website detection model using HTML, text and image features

E Khoo, A Zainal, N Ariffin, MN Kassim… - Proceedings of the 11th …, 2021 - Springer
Many of Internet users have been the victims of fraudulent e-commerce websites and the
number grows. This paper presents an investigation on three types of features namely HTML …

Detecting phishing websites using machine learning

VU Rani, R Pradeep, N Jayanathan… - Disruptive …, 2024 - taylorfrancis.com
Phishing is a type of criminal activity that involves the creation of bogus websites that closely
mimic actual ones in order to fool users into disclosing personal information like as …

Enhancement of detecting wicked website through intelligent methods

TA Rashid, SO Mohamad - … , SSCC 2016, Jaipur, India, September 21-24 …, 2016 - Springer
Noticeably, different environments of wicked website include different types of information
which could be a threat for all web users such as incitement for hacking sites and …

Phishing Website Detection and Classification

D Viji, V Dixit, V Jha - Proceedings of International Conference on Deep …, 2022 - Springer
Websites are used nowadays for a lot of online transactions like E-commerce which involve
making online payments. These websites may or may not ask user sensitive data such as …