[HTML][HTML] A Deep learning-based innovative technique for phishing detection in modern security with uniform resource locators

EA Aldakheel, M Zakariah, GA Gashgari, FA Almarshad… - Sensors, 2023 - mdpi.com
Organizations and individuals worldwide are becoming increasingly vulnerable to
cyberattacks as phishing continues to grow and the number of phishing websites grows. As …

Towards building a word similarity dictionary for personality bias classification of phishing email contents

K Ding, N Pantic, Y Lu, S Manna… - Proceedings of the …, 2015 - ieeexplore.ieee.org
Phishing attacks are a form of social engineering technique used for stealing private
information from users through emails. A general approach for phishing susceptibility …

Detecting spear-phishing emails based on authentication

W Xiujuan, Z Chenxi, Z Kangfeng… - 2019 IEEE 4th …, 2019 - ieeexplore.ieee.org
In this paper, stylometric features, gender features and personality features are introduced in
the phishing detection. Experimental results show that the detection accuracy reaches …

Visualphishnet: Zero-day phishing website detection by visual similarity

S Abdelnabi, K Krombholz, M Fritz - Proceedings of the 2020 ACM …, 2020 - dl.acm.org
Phishing websites are still a major threat in today's Internet ecosystem. Despite numerous
previous efforts, similarity-based detection methods do not offer sufficient protection for the …

User behaviour based phishing websites detection

X Dong, JA Clark, JL Jacob - … International Multiconference on …, 2008 - ieeexplore.ieee.org
Phishing detection systems are principally based on the analysis of data moving from
phishers to victims. In this paper we describe a novel approach to detect phishing websites …

An efficient approach for phishing detection using single-layer neural network

LAT Nguyen, BL To, HK Nguyen… - 2014 international …, 2014 - ieeexplore.ieee.org
Phishing is an attempt by an individual or a group of person to steal personal information
such as password, banking account and credit card information, etc. Most of these phishing …

Inferring phishing intention via webpage appearance and dynamics: A deep vision based approach

R Liu, Y Lin, X Yang, SH Ng, DM Divakaran… - 31st USENIX Security …, 2022 - usenix.org
Explainable phishing detection approaches are usually based on references, ie, they
compare a suspicious webpage against a reference list of commonly targeted legitimate …

Phishing website detection framework through web scraping and data mining

AJ Park, RN Quadari, HH Tsang - 2017 8th IEEE Annual …, 2017 - ieeexplore.ieee.org
Phishers often exploit users' trust on the appearance of a site by using webpages that are
visually similar to an authentic site. In the past, various research studies have tried to identify …

Classifying phishing URLs using recurrent neural networks

AC Bahnsen, EC Bohorquez, S Villegas… - … on electronic crime …, 2017 - ieeexplore.ieee.org
As the technical skills and costs associated with the deployment of phishing attacks
decrease, we are witnessing an unprecedented level of scams that push the need for better …

A methodical overview on phishing detection along with an organized way to construct an anti-phishing framework

S Patil, S Dhage - 2019 5th International Conference on …, 2019 - ieeexplore.ieee.org
Phishing is a security attack to acquire personal information like passwords, credit card
details or other account details of a user by means of websites or emails. Phishing websites …