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 …

Feature selections for the machine learning based detection of phishing websites

E Buber, Ö Demir, OK Sahingoz - 2017 international artificial …, 2017 - ieeexplore.ieee.org
Phishing websites are malicious sites which impersonate as legitimate web pages and they
aim to reveal users important information such as user id, password, and credit card …

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 …

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 …

Improving phishing countermeasures: An analysis of expert interviews

S Sheng, P Kumaraguru, A Acquisti… - 2009 eCrime …, 2009 - ieeexplore.ieee.org
In this paper, we present data from 31 semi-structured interviews with anti-phishing experts
from academia, law enforcement, and industry. Our analysis led to eight key findings and 18 …

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 …

Latent semantic analysis and keyword extraction for phishing classification

G L'Huillier, A Hevia, R Weber… - 2010 IEEE international …, 2010 - ieeexplore.ieee.org
Phishing email fraud has been considered as one of the main cyber-threats over the last
years. Its development has been closely related to social engineering techniques, where …

Phishing detection using traffic behavior, spectral clustering, and random forests

D DeBarr, V Ramanathan… - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
Phishing is an attempt to steal a user's identity. This is typically accomplished by sending an
email message to a user, with a link directing the user to a web site used to collect personal …

Detection of phishing websites using machine learning

A Razaque, MBH Frej, D Sabyrov… - 2020 IEEE Cloud …, 2020 - ieeexplore.ieee.org
Phishing sends malicious links or attachments through emails that can perform various
functions, including capturing the victim's login credentials or account information. These …