Classification of phishing attack solutions by employing deep learning techniques: A systematic literature review
Phishing is the technique by which the attacker tries to obtain confidential information from
the user, with the purpose of using it fraudulently. These days, three ways to mitigate such …
the user, with the purpose of using it fraudulently. These days, three ways to mitigate such …
[HTML][HTML] Phishing website detection with semantic features based on machine learning classifiers: a comparative study
A Almomani, M Alauthman, MT Shatnawi… - … Journal on Semantic …, 2022 - igi-global.com
The phishing attack is one of the main cybersecurity threats in web phishing and spear
phishing. Phishing websites continue to be a problem. One of the main contributions to our …
phishing. Phishing websites continue to be a problem. One of the main contributions to our …
[PDF][PDF] Phishing websites detection using machine learning
R Kiruthiga, D Akila - International Journal of Recent Technology …, 2019 - researchgate.net
Phishing is a common attack on credulous people by making them to disclose their unique
information using counterfeit websites. The objective of phishing website URLs is to purloin …
information using counterfeit websites. The objective of phishing website URLs is to purloin …
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 …
The emergence threat of phishing attack and the detection techniques using machine learning models
SP Ripa, F Islam, M Arifuzzaman - … International Conference on …, 2021 - ieeexplore.ieee.org
With the increasing number of the internet users, cybercrime is increasing at a high rate.
Among all the cyber-attack, phishing has now confirmed so successful and the number one …
Among all the cyber-attack, phishing has now confirmed so successful and the number one …
[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 …
[HTML][HTML] An efficient multistage phishing website detection model based on the CASE feature framework: Aiming at the real web environment
Phishing has become a favorite method of hackers for committing data theft and continues to
evolve. As long as phishing websites continue to operate, many more people and …
evolve. As long as phishing websites continue to operate, many more people and …
Classifying phishing email using machine learning and deep learning
Classifying Phishing Email Using Machine Learning and Deep Learning Page 1 XXX-X-XXXX-XXXX-X/XX/$XX.00
©20XX IEEE Classifying Phishing Email Using Machine Learning and Deep Learning Sikha …
©20XX IEEE Classifying Phishing Email Using Machine Learning and Deep Learning Sikha …
Application of word embedding and machine learning in detecting phishing websites
Phishing is an attack whose aim is to gain personal information such as passwords, credit
card details etc. from online users by deceiving them through fake websites, emails or any …
card details etc. from online users by deceiving them through fake websites, emails or any …
[HTML][HTML] A phishing-attack-detection model using natural language processing and deep learning
Phishing is a type of cyber-attack that aims to deceive users, usually using fraudulent web
pages that appear legitimate. Currently, one of the most-common ways to detect these …
pages that appear legitimate. Currently, one of the most-common ways to detect these …