Results 101 to 110 of about 204,072 (197)

Enhancing Phishing Detection: A Machine Learning Approach With Feature Selection and Deep Learning Models

IEEE Access
With the rise in cybercrime, phishing remains a significant concern as it targets individuals with fake websites, causing victims to disclose their private information.
Ganesh S. Nayak, Balachandra Muniyal, Manjula C. Belavagi   +2 more
doaj   +1 more source

PHISHSIM: Phishing Website Detection

International Research Journal on Advanced Engineering and Management (IRJAEM)
In this paper, we introduce a powerful new approach for detecting phishing websites that is entirely feature-free. Our method, called PhishSim, uses the Normalized Compression Distance (NCD), a technique that requires no specialized parameters. NCD works by measuring the similarity of two websites through compression, eliminating the time and effort ...
null Nivyashree R, null Bhoomika S R, null Chiranth H M, null Bhavan N Gowda, null Chakram Janya H U   +4 more
openaire   +1 more source

Intelligent phishing website detection: A CNN-SVM approach with nature-inspired hyperparameter tuning

Cyber Security and Applications
Phishing attacks represent a growing threat to online users and software developers, necessitating the development of advanced detection strategies. This study proposes a hybrid framework that integrates convolutional neural networks (CNN) for feature ...
Santosh Kumar Birthriya, Priyanka Ahlawat, Ankit Kumar Jain   +2 more
doaj   +1 more source

Beneath the Phishing Scripts: A Script-Level Analysis of Phishing Kits and Their Impact on Real-World Phishing Websites [PDF]

Phishing kits have become increasingly popular among cybercriminals because they offer an easy-to-use and efficient way for phishing attackers to build phishing websites.
Hur, Junbeom, Kim, Doowon, Lee, Woonghee
core   +1 more source

Mobile Phishing Websites Detection and Prevention Using Data Mining Techniques [PDF]

, 2019
— The widespread use of smart phones nowadays makes them vulnerable to phishing. Phishing is the process of trying to steal user information over the Internet by claiming they are a trusted entity and thus access and steal the victim's data(user name ...
Al-Hassani, Mustafa Dhiaa, Al-saedi, Karim Hashim, Kadhim, Huda Yousif   +2 more
core  

PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models

Phishing is a cybersecurity attack based on social engineering that incurs significant financial losses and erodes societal trust. While phishing detection techniques are emerging, attackers continually strive to bypass state-of-the-arts. Recent phishing
Huang, Z, Dong, JS, Teoh, X, Liu, R, Lin, Y   +4 more
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  

Retraction: Detecting phishing websites using machine learning technique. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

A Sophisticated Framework for the Accurate Detection of Phishing Websites [PDF]

Phishing is an increasingly sophisticated form of cyberattack that is inflicting huge financial damage to corporations throughout the globe while also jeopardizing individuals' privacy.
Newaz, Asif, Ahmed, Nadim, Haq, Farhan Shahriyar   +2 more
core  

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