Detection of phishing websites using generative adversarial network

P Robic-Butez, TY Win - … Conference on Big data (Big data), 2019 - ieeexplore.ieee.org
Phishing is typically deployed as an attack vector in the initial stages of a hacking
endeavour. Due to it low-risk rightreward nature it has seen a widespread adoption, and …

A novel phishing classification based on url features

M Khonji, A Jones, Y Iraqi - 2011 IEEE GCC conference and …, 2011 - ieeexplore.ieee.org
Phishing is the process of illicitly obtaining data through social engineering via electronic
communication channels. As reported by the Anti-Phishing Working Group (APWG) …

Visual similarity based anti-phishing with the combination of local and global features

Y Zhou, Y Zhang, J Xiao, Y Wang… - 2014 IEEE 13th …, 2014 - ieeexplore.ieee.org
Phishing uses a fake Web page to steal personal sensitive information such as credit card
numbers and passwords. Generally, the fake Web page is visually similar to the legitimate …

An intelligent anti-phishing strategy model for phishing website detection

W Zhuang, Q Jiang, T Xiong - 2012 32nd International …, 2012 - ieeexplore.ieee.org
As a new form of malicious software, phishing websites appear frequently in recent years,
which cause great harm to online financial services and data security. In this paper, we …

Efficient detection of phishing attacks with hybrid neural networks

X Zhang, D Shi, H Zhang, W Liu… - 2018 IEEE 18th …, 2018 - ieeexplore.ieee.org
Many machine learning techniques and social engineering methods have been adopted
and devised to combat phishing threats. In this paper, a novel hybrid deep learning model is …

Learn to detect phishing scams using learning and ensemble? methods

A Saberi, M Vahidi, BM Bidgoli - 2007 IEEE/WIC/ACM …, 2007 - ieeexplore.ieee.org
Phishing attack is a kind of identity theft which tries to steal confidential data like on-line
bank account information. In a phishing attack scenario, attacker deceives users by a fake …

Ontological detection of phishing emails

G Park, J Rayz - … Conference on Systems, Man, and Cybernetics …, 2018 - ieeexplore.ieee.org
Detection of phishing emails is a topic that received a lot of attention both from academia
and industry due to the devastating effects of phishing enabled data breaches have on …

Employing machine learning techniques for detection and classification of phishing emails

N Moradpoor, B Clavie… - 2017 Computing …, 2017 - ieeexplore.ieee.org
A phishing email is a legitimate-looking email which is designed to fool the recipient into
believing that it is a genuine email, and either reveals sensitive information or downloads …

Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages

Y Lin, R Liu, DM Divakaran, JY Ng, QZ Chan… - 30th USENIX Security …, 2021 - usenix.org
Recent years have seen the development of phishing detection and identification
approaches to defend against phishing attacks. Phishing detection solutions often report …

PhishTester: automatic testing of phishing attacks

H Shahriar, M Zulkernine - 2010 Fourth International …, 2010 - ieeexplore.ieee.org
Phishing is a web-based attack where users are allured to visit fake websites and provide
their personal information. Traditional anti-phishing tools are successful to mitigate the …