Web2vec: Phishing webpage detection method based on multidimensional features driven by deep learning
J Feng, L Zou, O Ye, J Han - IEEE Access, 2020 - ieeexplore.ieee.org
Phishing is a kind of online attack that attempts to defraud sensitive information of network
users. Current phishing webpage detection methods mainly use manual feature collection …
users. Current phishing webpage detection methods mainly use manual feature collection …
Phishing website detection based on multidimensional features driven by deep learning
As a crime of employing technical means to steal sensitive information of users, phishing is
currently a critical threat facing the Internet, and losses due to phishing are growing steadily …
currently a critical threat facing the Internet, and losses due to phishing are growing steadily …
Phishing website detection based on deep convolutional neural network and random forest ensemble learning
R Yang, K Zheng, B Wu, C Wu, X Wang - Sensors, 2021 - mdpi.com
Phishing has become one of the biggest and most effective cyber threats, causing hundreds
of millions of dollars in losses and millions of data breaches every year. Currently, anti …
of millions of dollars in losses and millions of data breaches every year. Currently, anti …
HDP-CNN: Highway deep pyramid convolution neural network combining word-level and character-level representations for phishing website detection
Phishing has become a prevailing method for attackers to steal users' private data and
commit fraud, posing a serious threat to Internet users. How to detect phishing websites has …
commit fraud, posing a serious threat to Internet users. How to detect phishing websites has …
Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs
With the advent of the 20th century, the popularity of digital service usages is increasing
every day. The internet has always been a popular communication method, and phishing …
every day. The internet has always been a popular communication method, and phishing …
A stacking model using URL and HTML features for phishing webpage detection
Y Li, Z Yang, X Chen, H Yuan, W Liu - Future Generation Computer …, 2019 - Elsevier
In this paper, we present a stacking model to detect phishing webpages using URL and
HTML features. In terms of features, we design lightweight URL and HTML features and …
HTML features. In terms of features, we design lightweight URL and HTML features and …
HTMLPhish: Enabling phishing web page detection by applying deep learning techniques on HTML analysis
Recently, the development and implementation of phishing attacks require little technical
skills and costs. This uprising has led to an ever-growing number of phishing attacks on the …
skills and costs. This uprising has led to an ever-growing number of phishing attacks on the …
An effective detection approach for phishing websites using URL and HTML features
Today's growing phishing websites pose significant threats due to their extremely
undetectable risk. They anticipate internet users to mistake them as genuine ones in order to …
undetectable risk. They anticipate internet users to mistake them as genuine ones in order to …
[HTML][HTML] Multi-scale semantic deep fusion models for phishing website detection
In view of semantic counterfeiting characteristics of phishing websites and their multi-scale
composition, this paper fully considers the semantic information of different scales, and …
composition, this paper fully considers the semantic information of different scales, and …
PDRCNN: Precise phishing detection with recurrent convolutional neural networks
W Wang, F Zhang, X Luo… - Security and …, 2019 - Wiley Online Library
Through well‐designed counterfeit websites, phishing induces online users to visit forged
web pages to obtain their private sensitive information, eg, account number and password …
web pages to obtain their private sensitive information, eg, account number and password …