Detection of phishing websites from URLs by using classification techniques on WEKA

B Geyik, K Erensoy, E Kocyigit - 2021 6th International …, 2021 - ieeexplore.ieee.org
The Internet is getting stronger day by day and it makes our lives easier with many
applications that are executed on cyberworld. However, with the development of the internet …

Survey on detection and prevention of phishing websites using machine learning

M Rastogi, A Chhetri, DK Singh - … Conference on Advance …, 2021 - ieeexplore.ieee.org
This research paper discusses on the phishing websites Prevention and Detection. A
phishing website is a common social engineering method that mimics trustful uniform …

Detection of phishing websites using machine learning approach

VK Nadar, B Patel, V Devmane… - 2021 2nd Global …, 2021 - ieeexplore.ieee.org
With the development of e-commerce transaction, phishers and other cybercriminals are
taking advantage and making the online platform insecure by triggering severe threats to …

Phishing website detection using machine learning and deep learning techniques

M Selvakumari, M Sowjanya, S Das… - Journal of Physics …, 2021 - iopscience.iop.org
Phishing has become more damaging nowadays because of the rapid growth of internet
users. The phishing attack is now a big threat to people's daily life and to the internet …

Phishing attack detection using machine learning classification techniques

NF Abedin, R Bawm, T Sarwar… - 2020 3rd …, 2020 - ieeexplore.ieee.org
Phishing attacks are the most common form of attacks that can happen over the internet.
This method involves attackers attempting to collect data of a user without his/her consent …

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 …

Detection of phishing websites by using machine learning-based URL analysis

M Korkmaz, OK Sahingoz, B Diri - 2020 11th International …, 2020 - ieeexplore.ieee.org
In recent years, with the increasing use of mobile devices, there is a growing trend to move
almost all real-world operations to the cyberworld. Although this makes easy our daily lives …

A smart methodology for analyzing secure e-banking and e-commerce websites

RMA Latif, M Umer, T Tariq, M Farhan… - … on Applied Sciences …, 2019 - ieeexplore.ieee.org
Acquiring sensitive information from the user in some malicious web pages which looks like
the legitimate webpage and they do a kind of criminal activity that is known as phishing in …

Comparative analysis of machine learning algorithms for phishing website detection

D Sarma, T Mittra, RM Bawm, T Sarwar, FF Lima… - … : Proceedings of ICICIT …, 2021 - Springer
Internet has become the most effective media for leveraging social interactions during the
COVID-19 pandemic. Users' immense dependence on digital platform increases the chance …

Using attribute-based feature selection approaches and machine learning algorithms for detecting fraudulent website URLs

M Aydin, I Butun, K Bicakci… - 2020 10th Annual …, 2020 - ieeexplore.ieee.org
Phishing is a malicious form of online theft and needs to be prevented in order to increase
the overall trust of the public on the Internet. In this study, for that purpose, the authors …