Abstract: Malware threats have been ... for Dimensionality Reduction. Then, the algorithms are trained using multiple machine learning algorithms such as Naive Bayes, AdaBoost, Logistic Regression, ...

Dianna Gunn built her first WordPress website in 2008. Since then, she's poured thousands of hours into understanding how websites and online businesses work. She's shared what she's learned on ...

Antivirus apps protect your PC's personal information, data, bank accounts, and much more. We've tested more than two dozen utilities to help you choose the best antivirus for your needs. When the ...

Behavioral based Detection methods [4] will be discussed to take advantage from ML algorithms so as to frame social-based malware recognition and classification model.

A Network Intrusion, Malware, and Phishing Detection System identifies cyber threats in real-time by analyzing network traffic patterns, malware behavior, and phishing attempts. The system captures ...

This project focuses on detecting insurance fraud using machine learning techniques, specifically Decision Tree and Random Forest classifiers. The goal is to build and optimize predictive models to ...

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