[HTML][HTML] Phishing attacks: A recent comprehensive study and a new anatomy

Z Alkhalil, C Hewage, L Nawaf, I Khan - Frontiers in Computer Science, 2021 - frontiersin.org
With the significant growth of internet usage, people increasingly share their personal
information online. As a result, an enormous amount of personal information and financial …

Phishing environments, techniques, and countermeasures: A survey

A Aleroud, L Zhou - Computers & Security, 2017 - Elsevier
Phishing has become an increasing threat in online space, largely driven by the evolving
web, mobile, and social networking technologies. Previous phishing taxonomies have …

[HTML][HTML] Phishing website detection with semantic features based on machine learning classifiers: a comparative study

A Almomani, M Alauthman, MT Shatnawi… - … Journal on Semantic …, 2022 - igi-global.com
The phishing attack is one of the main cybersecurity threats in web phishing and spear
phishing. Phishing websites continue to be a problem. One of the main contributions to our …

Detection of phishing websites using an efficient feature-based machine learning framework

RS Rao, AR Pais - Neural Computing and applications, 2019 - Springer
Phishing is a cyber-attack which targets naive online users tricking into revealing sensitive
information such as username, password, social security number or credit card number etc …

A survey of the applications of text mining in financial domain

BS Kumar, V Ravi - Knowledge-Based Systems, 2016 - Elsevier
Text mining has found a variety of applications in diverse domains. Of late, prolific work is
reported in using text mining techniques to solve problems in financial domain. The …

Machine-learning-assisted security and privacy provisioning for edge computing: A survey

S Singh, R Sulthana, T Shewale… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Edge computing (EC), is a technological game changer that has the ability to connect
millions of sensors and provide services at the device end. The broad vision of EC integrates …

Phishing detection based associative classification data mining

N Abdelhamid, A Ayesh, F Thabtah - Expert Systems with Applications, 2014 - Elsevier
Website phishing is considered one of the crucial security challenges for the online
community due to the massive numbers of online transactions performed on a daily basis …

Predicting phishing websites based on self-structuring neural network

RM Mohammad, F Thabtah, L McCluskey - Neural Computing and …, 2014 - Springer
Internet has become an essential component of our everyday social and financial activities.
Nevertheless, internet users may be vulnerable to different types of web threats, which may …

SoK: a comprehensive reexamination of phishing research from the security perspective

A Das, S Baki, A El Aassal, R Verma… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …

Detection of online phishing email using dynamic evolving neural network based on reinforcement learning

S Smadi, N Aslam, L Zhang - Decision Support Systems, 2018 - Elsevier
Despite state-of-the-art solutions to detect phishing attacks, there is still a lack of accuracy for
the detection systems in the online mode which is leading to loopholes in web-based …