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Detecting malicious URLs using machine learning techniques: review and research directions
In recent years, the digital world has advanced significantly, particularly on the Internet,
which is critical given that many of our activities are now conducted online. As a result of …
which is critical given that many of our activities are now conducted online. As a result of …
[PDF][PDF] Website phishing detection using machine learning techniques
Phishing is a cybercrime that is constantly increasing in the recent years due to the
increased use of the Internet and its applications. It is one of the most common types of …
increased use of the Internet and its applications. It is one of the most common types of …
A large-scale pretrained deep model for phishing url detection
Y Wang, W Zhu, H Xu, Z Qin, K Ren… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Phishing attacks have always been a security issue that has attracted great attention in the
cyber security community. Recently, the famous pre-trained models is being used as an anti …
cyber security community. Recently, the famous pre-trained models is being used as an anti …
[PDF][PDF] Comparative Analysis of Machine Learning Algorithms for Email Phishing Detection Using TF-IDF, Word2Vec, and BERT
Cybercriminals often use fraudulent emails and fictitious email accounts to deceive
individuals into disclosing confidential information, a practice known as phishing. This study …
individuals into disclosing confidential information, a practice known as phishing. This study …
A technology exploration towards trustable and safe use of social media for vulnerable women based on islam and arab culture
We live in an era characterized by unprecedented communication possibilities; yet
significant parts of the world's population are left behind and at increased vulnerability of …
significant parts of the world's population are left behind and at increased vulnerability of …
An Automatic Detection System for Fake Japanese Shop** Sites Using fastText and LightGBM
K Sakai, K Takeshige, K Kato, N Kurihara, K Ono… - IEEE …, 2023 - ieeexplore.ieee.org
In recent years, the number of fake shop** sites that scam people out of their money or
steal their personal information has skyrocketed. To address this problem, Japanese law …
steal their personal information has skyrocketed. To address this problem, Japanese law …
Phishing web page detection using web scra**
In today's Internet era, webpages act as major user interfaces for the applications hosted by
the organizations. One of the most common security attacks on the web page applications is …
the organizations. One of the most common security attacks on the web page applications is …
[PDF][PDF] Phishing Attacks Detection Using Ensemble Machine Learning Algorithms.
Phishing, an Internet fraud where individuals are deceived into revealing critical personal
and account information, poses a significant risk to both consumers and web-based …
and account information, poses a significant risk to both consumers and web-based …
Machine Learning Algorithms for Phishing Detection: A Comparative Analysis of SVM, Random Forest, and CatBoost Models
Phishing attempts are increasing nowadays due to the advanced internet penetration
worldwide. The objective of this research is to create a phishing detection system that is both …
worldwide. The objective of this research is to create a phishing detection system that is both …
Solving the Problem of Detecting Phishing Websites Using Ensemble Learning Models
D Kaibassova, M Nurtay, A Tau… - Scientific Journal of …, 2022 - journal.astanait.edu.kz
Due to the popularity of the easiest way to obtain personal information among attackers,
phishing detection is becoming a popular area for research aimed at countering the …
phishing detection is becoming a popular area for research aimed at countering the …