Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages
Recent years have seen the development of phishing detection and identification
approaches to defend against phishing attacks. Phishing detection solutions often report …
approaches to defend against phishing attacks. Phishing detection solutions often report …
PhishDump: A multi-model ensemble based technique for the detection of phishing sites in mobile devices
Phishing is a technique in which the attackers trick the online users to reveal the sensitive
information by creating the phishing sites which look similar to that of legitimate sites. There …
information by creating the phishing sites which look similar to that of legitimate sites. There …
A novel ensemble machine learning method to detect phishing attack
Currently and particularly with remote working scenarios during COVID-19, phishing attack
has become one of the most significant threats faced by internet users, organizations, and …
has become one of the most significant threats faced by internet users, organizations, and …
Phishing websites detection via CNN and multi-head self-attention on imbalanced datasets
Phishing websites belong to a social engineering attack where perpetrators fake legitimate
websites to lure people to access so as to illegally acquire user's identity, password, privacy …
websites to lure people to access so as to illegally acquire user's identity, password, privacy …
[PDF][PDF] Detecting phishing attacks using a combined model of LSTM and CNN
Phishing, a social engineering crime which has been existing for more than two decades,
has gained significant research attention to find better solutions to face against the very …
has gained significant research attention to find better solutions to face against the very …
An effective neural network phishing detection model based on optimal feature selection
E Zhu, C Ye, D Liu, F Liu, F Wang… - 2018 IEEE Intl Conf on …, 2018 - ieeexplore.ieee.org
As a common means to obtain user privacy information, phishing poses a big threat to
people's daily network environment. The detection and prevention the threats of phishing …
people's daily network environment. The detection and prevention the threats of phishing …
OFS-NN: an effective phishing websites detection model based on optimal feature selection and neural network
E Zhu, Y Chen, C Ye, X Li, F Liu - Ieee Access, 2019 - ieeexplore.ieee.org
Phishing attack is now a big threat to people's daily life and networking environment.
Through disguising illegal URLs as legitimate ones, attackers can induce users to visit the …
Through disguising illegal URLs as legitimate ones, attackers can induce users to visit the …
A deep learning technique for web phishing detection combined URL features and visual similarity
S Al-Ahmadi - International Journal of Computer Networks & …, 2020 - papers.ssrn.com
The most popular way to deceive online users nowadays is phishing. Consequently, to
increase cybersecurity, more efficient web page phishing detection mechanisms are …
increase cybersecurity, more efficient web page phishing detection mechanisms are …
An adaptive machine learning based approach for phishing detection using hybrid features
MM Yadollahi, F Shoeleh, E Serkani… - … Conference on Web …, 2019 - ieeexplore.ieee.org
Nowadays, phishing is one of the most usual web threats with regards to the significant
growth of the World Wide Web in volume over time. Phishing attackers always use new (zero …
growth of the World Wide Web in volume over time. Phishing attackers always use new (zero …
CNN–MHSA: A Convolutional Neural Network and multi-head self-attention combined approach for detecting phishing websites
X Xiao, D Zhang, G Hu, Y Jiang, S Xia - Neural Networks, 2020 - Elsevier
Increasing phishing sites today have posed great threats due to their terribly imperceptible
hazard. They expect users to mistake them as legitimate ones so as to steal user information …
hazard. They expect users to mistake them as legitimate ones so as to steal user information …