Application of word embedding and machine learning in detecting phishing websites

RS Rao, A Umarekar, AR Pais - Telecommunication Systems, 2022 - Springer
Phishing is an attack whose aim is to gain personal information such as passwords, credit
card details etc. from online users by deceiving them through fake websites, emails or any …

A phishing-attack-detection model using natural language processing and deep learning

E Benavides-Astudillo, W Fuertes, S Sanchez-Gordon… - Applied Sciences, 2023 - mdpi.com
Phishing is a type of cyber-attack that aims to deceive users, usually using fraudulent web
pages that appear legitimate. Currently, one of the most-common ways to detect these …

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 …

Phishing website detection based on deep convolutional neural network and random forest ensemble learning

R Yang, K Zheng, B Wu, C Wu, X Wang - Sensors, 2021 - mdpi.com
Phishing has become one of the biggest and most effective cyber threats, causing hundreds
of millions of dollars in losses and millions of data breaches every year. Currently, anti …

[PDF][PDF] Classification of phishing email using word embedding and machine learning techniques

M Somesha, AR Pais - Journal of Cyber Security and …, 2022 - journals.riverpublishers.com
Email phishing is a cyber-attack, bringing substantial financial damage to corporate and
commercial organizations. A phishing email is a special type of spamming, used to trick the …

Application of Natural Language Processing for Phishing Detection Using Machine and Deep Learning Models

A Villanueva, C Atibagos, J De Guzman… - … Conference on ICT …, 2022 - ieeexplore.ieee.org
Phishing scams are internet frauds that target people by sending them harmful links. Many
victims ranging from individuals to big companies, have suffered numerous losses due to …

[HTML][HTML] Look before you leap: Detecting phishing web pages by exploiting raw URL and HTML characteristics

C Opara, Y Chen, B Wei - Expert Systems with Applications, 2024 - Elsevier
Phishing websites distribute unsolicited content and are frequently used to commit email
and internet fraud. Detecting them before any user information is submitted is critical …

A machine learning based approach for phishing detection using hyperlinks information

AK Jain, BB Gupta - Journal of Ambient Intelligence and Humanized …, 2019 - Springer
This paper presents a novel approach that can detect phishing attack by analysing the
hyperlinks found in the HTML source code of the website. The proposed approach …

[PDF][PDF] Phishing detection from urls by using neural networks

OK Sahingoz, SI Baykal, D Bulut - … & Information Technology (CS & IT), 2018 - csitcp.com
In recent years, Internet technologies are grown pervasively not only in information-based
web pages but also in online social networking and online banking, which made people's …

URL phishing detection using machine learning techniques based on URLs lexical analysis

M Abutaha, M Ababneh, K Mahmoud… - … on Information and …, 2021 - ieeexplore.ieee.org
Phishing URLs mainly target individuals and/or organizations through social engineering
attacks by exploiting the humans' weaknesses in information security awareness. These …