The application of a novel neural network in the detection of phishing websites
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-0786-3
Abstract: In recent years, security incidents of website occur increasingly frequently, and this motivates us to study websites’ security. Although there are many phishing detection approaches to detect phishing websites, the detection accuracy has not been… read more here.
Keywords: phishing detection; detection; detection model; phishing websites ... See more keywords
Exquisite Analysis of Popular Machine Learning–Based Phishing Detection Techniques for Cyber Systems
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DOI: 10.1080/19361610.2020.1816440
Abstract: Abstract Recent advances in data science have made available many URL-analysis–based detection and machine learning algorithms, which are being leveraged for phishing detection. It is necessary to measure the efficacy of each technique so as… read more here.
Keywords: phishing detection; detection; machine learning; analysis ... See more keywords
The Answer is in the Text: Multi-Stage Methods for Phishing Detection Based on Feature Engineering
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DOI: 10.1109/access.2020.3043396
Abstract: A phishing attack is a threat based on fraudulent communication, usually by e-mail, where the cybercriminals, impersonating a trusted person or organization, try to lure and coax a target. Phishing detection approaches that obtain highly… read more here.
Keywords: phishing detection; feature engineering; stage; multi stage ... See more keywords
PDGAN: Phishing Detection With Generative Adversarial Networks
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DOI: 10.1109/access.2022.3168235
Abstract: Phishing is a harmful online attack that could lead to identity theft and financial damages. The demand for high-accuracy phishing detection tools has risen due to the increase of online electronic services and payment systems.… read more here.
Keywords: network; accuracy; generative adversarial; phishing detection ... See more keywords
Phishing Detection System Through Hybrid Machine Learning Based on URL
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DOI: 10.1109/access.2023.3252366
Abstract: Currently, numerous types of cybercrime are organized through the internet. Hence, this study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has become the most severe and dangerous cybercrime on… read more here.
Keywords: machine; machine learning; system hybrid; detection system ... See more keywords
Phishing Detection on Ethereum via Attributed Ego-Graph Embedding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3159594
Abstract: In recent years, the losses caused by phishing scams on Ethereum have reached a level that cannot be ignored. In such a phishing detection scenario, network embedding is seen as an effective solution. In this… read more here.
Keywords: transaction; phishing detection; ego graph; ethereum ... See more keywords