Categorization of Phishing Detection Features And Using the Feature Vectors to Classify Phishing Websites [PDF]
, 2017 : Phishing is a form of online fraud where a spoofed website tries to gain access to user's sensitive information by tricking the user into believing that it is a benign website.
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Implementation of Phishing Detection and Defense Program using Ensemble Methods
This thesis implements a phishing detection and defense program using ensemble methods. Cybercrime is becoming increasingly sophisticated recently.
Miyashita, Yui
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Phishing Websites Detection using Machine Learning
, 2019 Tremendous resources are spent by organizations guarding against and recovering from cybersecurity attacks by online hackers who gain access to sensitive and valuable user data.
Brown,, Leonard L., III +1 more
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Feature Extraction and Classification Phishing Websites Based on URL
, 2015 In this study we extracted websites' URL features and analyzed subset based feature selection methods and classification algorithms for phishing websites ...
Aydin, Mustafa, Baykal, Nazife
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Retraction: Detecting phishing websites using machine learning technique. [PDF]
PLoS OnePLOS One Editors.
europepmc +1 more source
Detecting Phishing Websites Using Associative Classification
, 2013 Phishing is a criminal technique employing both social engineering and technical subterfuge to steal consumer's personal identity data and financial account credential.
AL Ajlouni, Moh'd Iqbal +2 more
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Recognition of phishing attacks utilizing anomalies in phishing websites
, 2013 The fight against phishing has resulted in several anticipating phishing prevention techniques. However, they are only partially able to address the phishing problem. There are still a large number of Internet users who are tricked to disclose their personal information to fake websites every day.
openaire +1 more source
Real time identification of phishing attacks through machine learning enhanced browser extensions. [PDF]
Sci RepDandotiya M +3 more
europepmc +1 more source
Understanding phishing discussions on stack overflow and information security stack exchange. [PDF]
Sci RepAlthobaiti K, Tahaei M.
europepmc +1 more source
Phish Guard Phishing Website using Machine Learning Algorithms [PDF]
Phishing attacks pose a significant threat to individuals and organizations, leading to substantial financial and reputational damage. Traditional detection methods, such as blacklists and signature-based techniques, often fall short in identifying ...
Vinita, Singh +5 more
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