Results 111 to 120 of about 2,301 (212)

DETECTION OF PHISHING E-COMMERCE WEBSITES USING VISUAL CRYPTOGRAPHY

, 2014
Internet has changed the life of human significantly and it has dominated many fields including e-Healthcare, e-Commerce, etc. Internet increases the comfort of human life; on the other hand it also increases the need for security measures too.With the ...

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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
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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

Mobile Phishing Websites Detection and Prevention Using Data Mining Techniques

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

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
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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

DETECTION OF PHISHING WEBSITES USING HYBRID MODEL

, 2018
Online technologies have revolutionized the modern computing world. Thereare number of users who purchase products online and make payment through variouswebsites.
Rao, Ch. Chakradhara, Ramana, A. V., Sowmya, B.   +2 more
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Identification of phishing websites through hyperlink analysis and rule extraction

Purpose – The aim of this study is to propose an efficient rule extraction and integration approach for identifying phishing websites. The proposed approach can elucidate patterns of phishing websites and identify them accurately.
Wang, Chaoqun, Wu, Jiang, Chiong, Raymond, Hu, Zhongyi, Bao, Yukun   +4 more
core   +1 more source

Phishing Websites Detection Based on Web Source Code and URL in the Webpage

, 2013
Major security issues for banking and financial institutions are Phishing. Phishing is a webpage attack, it pretends a customer web services using tactics and mimics from unauthorized persons or organization.
Satish.S, Suresh Babu.K
core   +1 more source