Phishing or not phishing? A survey on the detection of phishing websites
R Zieni, L Massari, MC Calzarossa - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …
brands. Although this threat has been around for quite a long time, it is still very active and …
Intelligent fault diagnosis of rolling bearing using variational mode extraction and improved one-dimensional convolutional neural network
M Ye, X Yan, N Chen, M Jia - Applied Acoustics, 2023 - Elsevier
When the rolling bearing fails, the fault features contained in bearing vibration signal are
easily submerged by fortissimo noise interference signals, and have obvious non-stationary …
easily submerged by fortissimo noise interference signals, and have obvious non-stationary …
Multimodel phishing url detection using lstm, bidirectional lstm, and gru models
In today's world, phishing attacks are gradually increasing, resulting in individuals losing
valuables, assets, personal information, etc., to unauthorized parties. In phishing, attackers …
valuables, assets, personal information, etc., to unauthorized parties. In phishing, attackers …
[HTML][HTML] The applicability of a hybrid framework for automated phishing detection
Phishing attacks are a critical and escalating cybersecurity threat in the modern digital
landscape. As cybercriminals continually adapt their techniques, automated phishing …
landscape. As cybercriminals continually adapt their techniques, automated phishing …
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 …
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 …
[HTML][HTML] Impact of benign sample size on binary classification accuracy
M Mimura - Expert Systems with Applications, 2023 - Elsevier
Recently, there has been a significant increase in malware attacks and malicious traffic.
Consequently, several machine learning-based detection models have been developed to …
Consequently, several machine learning-based detection models have been developed to …
MOE/RF: a novel phishing detection model based on revised multiobjective evolution optimization algorithm and random forest
To effectively boost computer usage, machine learning models are used in several phishing
detection systems to classify enormous phishing datasets. Based on phishing patterns …
detection systems to classify enormous phishing datasets. Based on phishing patterns …
Unbalanced web phishing classification through deep reinforcement learning
Web phishing is a form of cybercrime aimed at tricking people into visiting malicious URLs to
exfiltrate sensitive data. Since the structure of a malicious URL evolves over time, phishing …
exfiltrate sensitive data. Since the structure of a malicious URL evolves over time, phishing …
Text data augmentation using generative adversarial networks–a systematic review
Insufficient data is one of the main drawbacks in natural language processing tasks, and the
most prevalent solution is to collect a decent amount of data that will be enough for the …
most prevalent solution is to collect a decent amount of data that will be enough for the …