Results 101 to 110 of about 2,301 (212)

Anti-phishing model for phishing websites detection: using pruning decision tree [PDF]

, 2013
As a new form of malicious software, phishing websites appear frequently in recent years, Phishers use spoofed emails and fraudulent web sites to lure unsuspecting online users into giving up personal information.
M. Abunadi, Ahmed I.
core  

Classification of phishing websites using machine learning techniques

, 2013
Phishing detection is a momentous problem which can be deliberated by many researchers with numerous advanced approaches. Current anti-phishing mechanisms such as blacklist-base anti-phishing, Heuristic-based anti-phishing does suffer low detection ...
Zamani, Hadi
core  

Exploring Phishing Detection Using Search Engine Optimization and Uniform Resource Locator based Information

, 2021
Phishing attacks are the work of social engineering. They are used to trick users to obtain their sensitive/private information using malicious links, websites, and electronic messages.
Ma, Kewei
core  

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

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

Detection of Phishing Websites Using Machine Learning Approach

, 2019
Phishing attacks are growing in the similar manner as e-commerce industries are growing. Prediction and prevention of phishing attacks is a very critical step towards safeguarding online transactions.
Naaz, Sameena; id_orcid, Ahmed, Kahkasha
core   +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

Implementation of an Automated Tool for Detecting Phishing Websites

Реалізація автоматизованого інструменту для виявлення фішингових веб-сайтів // ОР «Магістр» // Борух Олег Андрійович // Тернопільський національний технічний університет імені Івана Пулюя, факультет комп’ютерно-інформаційних систем і програмної інженерії,
Borukh, Oleh, Борух, Олег Андрійович   +1 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