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Fast Detection of Zero-Day Phishing Websites Using Machine Learning [PDF]

, 2022
The recent global growth in the number of internet users and online applications has led to a massive volume of personal data transactions taking place over the internet.
Nagunwa, Thomas
core  

Detection of Phishing Websites Using Machine Learning [PDF]

Phishing websites have proven to be a major security concern. Several cyberattacks risk the confidentiality, integrity, and availability of company and consumer data, and phishing is the beginning point for many of them.
Madupu Venkata Vineeth, G.V. Ramana
core   +1 more source

Hybrid Honey Badger Algorithm with Artificial Neural Network (HBA-ANN) for Website Phishing Detection

Iraqi Journal for Computer Science and Mathematics
 Phishing is a sort of cyberattack that refers to the practice of fabricating fake websites that imitate authentic websites in order to trick users into disclosing private information.
MUHAMMAD ARIF MOHAMAD, MUHAMMAD ALIIF AHMAD   +1 more
doaj   +1 more source

RSTHFS: A Rough Set Theory-Based Hybrid Feature Selection Method for Phishing Website Classification

IEEE Access
Phishing is a pervasive form of cybercrime where malicious websites deceive users into revealing sensitive information, e.g., passwords and credit card details. Despite advances in cybersecurity, accurately detecting phishing websites remains challenging
Jahanggir Hossain Setu, Nabarun Halder, Ashraful Islam, M. Ashraful Amin   +3 more
doaj   +1 more source

Characterization of phishing website characteristics

, 2022
The occurrence of phishing domains are increasing continuously as attackers are able to make use of tool kits that creates the phishing websites for them. When knowledge in web development is no longer needed, anyone can perform a phishing attack and existing detection methods can not seem to keep up.
Karlström, Axel, Kihlberg Gawell, Elsa
openaire   +1 more source

An explainable feature selection framework for web phishing detection with machine learning

Data Science and Management
In the evolving landscape of cyber threats, phishing attacks pose significant challenges, particularly through deceptive webpages designed to extract sensitive information under the guise of legitimacy.
Sakib Shahriar Shafin
doaj   +1 more source

Multimodal Phishing Detection on Social Networking Sites: A Systematic Review

IEEE Access
Phishing is one of the most common cyberattacks, with the number of incidents increasing annually. Significant research interests have been generated in phishing emails, URLs, and websites over the past decade.
Tandin Wangchuk, Tad Gonsalves
doaj   +1 more source

Intelligent Visual Similarity-Based Phishing Websites Detection

, 2020
This work proposes an intelligent visual technique for detecting phishing websites. The phishing websites are classified into three categories: very similar, local similar, and non-imitating.
Jiann-Liang Chen, Yi-Wei Ma, Kuan-Lung Huang   +2 more
core   +1 more source

Component features based enhanced phishing website detection system using EfficientNet, FH-BERT, and SELU-CRNN methods

Frontiers in Computer Science
IntroductionPhishing is a type of cybercrime used by hackers to steal sensitive user information, making it essential to detect phishing attacks on websites.
Mahmoud Murhej, G. Nallasivan
doaj   +1 more source

Detecting phishing websites using machine learning technique.

PLoS One, 2021
Dutta AK.
europepmc   +1 more source