The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods and machine learning classifiers such as Naïve Bayes, Support Vector Machines (SVM), ...

Similarly, One-Class Support Vector Machines ... best tools in fraud detection. It is quite possible to adapt deep learning architectures—particularly CNNs—for fraud detection. These models detect ...

Abstract: The adversarial example presents new security threats to trustworthy detection ... learning (RL) framework, dubbed GAME-RL, which simultaneously optimizes both the perturbing APIs and their ...

This repository contains materials for a hands-on training on phishing detection using machine learning and explainable AI. Participants will explore EDA, train multiple models, evaluate their ...

A list of malicious IP addresses associated with botnets, cyberattacks, and the generation of artificial traffic on websites. Useful for network administrators and security companies to block threats ...