PhiGARo: Automatic phishing detection and incident response framework

M Husák, J Cegan - 2014 ninth international conference on …, 2014 - ieeexplore.ieee.org
We present a comprehensive framework for automatic phishing incident processing and
work in progress concerning automatic phishing detection and reporting. Our work is based …

Detection and prevention of phishing websites using machine learning approach

V Patil, P Thakkar, C Shah, T Bhat… - … control and automation …, 2018 - ieeexplore.ieee.org
Phishing costs Internet user's lots of dollars per year. It refers to exploiting weakness on the
user side, which is vulnerable to such attacks. The phishing problem is huge and there does …

Detection of phishing attacks

M Baykara, ZZ Gürel - … on Digital Forensic and Security (ISDFS), 2018 - ieeexplore.ieee.org
Phishing is a form of cybercrime where an attacker imitates a real person/institution by
promoting them as an official person or entity through e-mail or other communication …

The application of the bert transformer model for phishing email classification

DO Otieno, AS Namin, KS Jones - 2023 IEEE 47th Annual …, 2023 - ieeexplore.ieee.org
Phishing attacks pose serious challenges to users, commercial institutions and governments
alike including identity theft, companies and government secrets. The weakest link in any …

LSTM based phishing detection for big email data

Q Li, M Cheng, J Wang, B Sun - IEEE transactions on big data, 2020 - ieeexplore.ieee.org
In recent years, cyber criminals have successfully invaded many important information
systems by using phishing mail, causing huge losses. The detection of phishing mail from …

Advanced phishing filter using autoencoder and denoising autoencoder

S Douzi, M Amar, B El Ouahidi - … of the International Conference on Big …, 2017 - dl.acm.org
Phishing is referred as an attempt to obtain sensitive information, such as usernames,
passwords, and credit card details (and, indirectly, money), for malicious reasons, by …

Modelling intelligent phishing detection system for e-banking using fuzzy data mining

MR Aburrous, A Hossain, K Dahal… - 2009 International …, 2009 - ieeexplore.ieee.org
Detecting and identifying any phishing websites in real-time, particularly for e-banking is
really a complex and dynamic problem involving many factors and criteria. Because of the …

An anti-phishing approach that uses training intervention for phishing websites detection

A Alnajim, M Munro - 2009 Sixth International Conference on …, 2009 - ieeexplore.ieee.org
Phishing scams have become a problem for online banking and e-commerce users. This
paper proposes and evaluates a novel anti-phishing approach that uses training …

CCBLA: a lightweight phishing detection model based on CNN, BiLSTM, and attention mechanism

E Zhu, Q Yuan, Z Chen, X Li, X Fang - Cognitive Computation, 2023 - Springer
Phishing, in which social engineering techniques such as emails and instant messaging are
employed and malicious links are disguised as normal URLs to steal sensitive information …

Investigating the effect of phishing believability on phishing reporting

L Kersten, P Burda, L Allodi… - 2022 IEEE European …, 2022 - ieeexplore.ieee.org
Phishing emails are becoming more and more sophisticated, making current detection
techniques ineffective. The reporting of phishing emails from users is, thus, crucial for …