Detecting phishing attacks using natural language processing and machine learning

T Peng, I Harris, Y Sawa - 2018 ieee 12th international …, 2018 - ieeexplore.ieee.org
Phishing attacks are one of the most common and least defended security threats today. We
present an approach which uses natural language processing techniques to analyze text …

Phishing detection: A recent intelligent machine learning comparison based on models content and features

N Abdelhamid, F Thabtah… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
In the last decade, numerous fake websites have been developed on the World Wide Web to
mimic trusted websites, with the aim of stealing financial assets from users and …

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 …

Detecting phishing emails the natural language way

R Verma, N Shashidhar, N Hossain - … , Pisa, Italy, September 10-12, 2012 …, 2012 - Springer
Phishing causes billions of dollars in damage every year and poses a serious threat to the
Internet economy. Email is still the most commonly used medium to launch phishing attacks …

Know your phish: Novel techniques for detecting phishing sites and their targets

S Marchal, K Saari, N Singh… - 2016 IEEE 36th …, 2016 - ieeexplore.ieee.org
Phishing is a major problem on the Web. Despite the significant attention it has received
over the years, there has been no definitive solution. While the state-of-the-art solutions …

Catching the Phish: Detecting phishing attacks using recurrent neural networks (RNNs)

L Halgaš, I Agrafiotis, JRC Nurse - … , WISA 2019, Jeju Island, South Korea …, 2020 - Springer
The emergence of online services in our daily lives has been accompanied by a range of
malicious attempts to trick individuals into performing undesired actions, often to the benefit …

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 …

Phishmon: A machine learning framework for detecting phishing webpages

A Niakanlahiji, BT Chu… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Despite numerous research efforts, phishing attacks remain prevalent and highly effective in
luring unsuspecting users to reveal sensitive information, including account credentials and …

Phishing attacks detection using machine learning and deep learning models

M Aljabri, S Mirza - 2022 7th International Conference on Data …, 2022 - ieeexplore.ieee.org
Because of the fast expansion of internet users, phishing attacks have become a significant
menace where the attacker poses as a trusted entity in order to steal sensitive data, causing …

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 …