DETECTION OF PHISHING E-COMMERCE WEBSITES USING VISUAL CRYPTOGRAPHY
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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Improved graph-based model for phishing website detection using multi-level web page graphs and dynamic heterogeneous graph attention network. [PDF]
Kavya S, Sumathi D.
europepmc +1 more source
Recognition of phishing attacks utilizing anomalies in phishing websites
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
An IBGWO optimized feature selection framework for sentiment analysis-based fraudulent website detection using MLRNN. [PDF]
Perumal S, Vishwanathan AJ.
europepmc +1 more source
Detection and mitigation of abusive web traffic using convolutional neural networks. [PDF]
Athar F +5 more
europepmc +1 more source
Real time identification of phishing attacks through machine learning enhanced browser extensions. [PDF]
Dandotiya M +3 more
europepmc +1 more source
Adversarial-resilient lightweight phishing url detection: Evaluating lexical & metadata features under evasion techniques. [PDF]
Chaudhuri A, B M.
europepmc +1 more source
Understanding phishing discussions on stack overflow and information security stack exchange. [PDF]
Althobaiti K, Tahaei M.
europepmc +1 more source
The Geometry of Suspicion: Visual Exploration Patterns in Email Phishing Detection. [PDF]
Di Nocera F +5 more
europepmc +1 more source
From Simulation to Healthcare: KINAITICS' AI Framework for Cyber-Physical Security. [PDF]
Marcheschi P, Pisani M, Dalmiani S.
europepmc +1 more source

