Stop oversampling for class imbalance learning: A review
For the last two decades, oversampling has been employed to overcome the challenge of
learning from imbalanced datasets. Many approaches to solving this challenge have been …
learning from imbalanced datasets. Many approaches to solving this challenge have been …
Analysis of the performance impact of fine-tuned machine learning model for phishing URL detection
SR Abdul Samad, S Balasubaramanian, AS Al-Kaabi… - Electronics, 2023 - mdpi.com
Phishing leverages people's tendency to share personal information online. Phishing
attacks often begin with an email and can be used for a variety of purposes. The …
attacks often begin with an email and can be used for a variety of purposes. The …
An investigation into the performances of the state-of-the-art machine learning approaches for various cyber-attack detection: A survey
In this research, we analyzed the suitability of each of the current state-of-the-art machine
learning models for various cyberattack detection from the past 5 years with a major …
learning models for various cyberattack detection from the past 5 years with a major …
Rdpvr: Random data partitioning with voting rule for machine learning from class-imbalanced datasets
Since most classifiers are biased toward the dominant class, class imbalance is a
challenging problem in machine learning. The most popular approaches to solving this …
challenging problem in machine learning. The most popular approaches to solving this …
An efficient approach for phishing detection using machine learning
The increasing number of phishing attacks is one of the major concerns of security
researchers today. The traditional tools for identifying phishing websites use signature …
researchers today. The traditional tools for identifying phishing websites use signature …
Detecting phishing websites using machine learning technique
AK Dutta - PloS one, 2021 - journals.plos.org
In recent years, advancements in Internet and cloud technologies have led to a significant
increase in electronic trading in which consumers make online purchases and transactions …
increase in electronic trading in which consumers make online purchases and transactions …
Multilayer stacked ensemble learning model to detect phishing websites
Phishing is a cyber attack that tricks the online users into revealing sensitive information with
a fake website imitating a legitimate website. The attackers with stolen credentials not only …
a fake website imitating a legitimate website. The attackers with stolen credentials not only …
[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 …
Stock price forecasting for jordan insurance companies amid the covid-19 pandemic utilizing off-the-shelf technical analysis methods
One of the most difficult problems analysts and decision-makers may face is how to improve
the forecasting and predicting of financial time series. However, several efforts were made to …
the forecasting and predicting of financial time series. However, several efforts were made to …
A novel phishing detection system using binary modified equilibrium optimizer for feature selection
The Digital era faces security concerns due to the explosive growth of cyber-attacks, such as
phishing attacks, man-in-the-middle attacks, and many more. Phishing attackers deceive …
phishing attacks, man-in-the-middle attacks, and many more. Phishing attackers deceive …