A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...

This project is an Intrusion Detection System (IDS) using machine learning (ML) and deep learning (DL) to detect network intrusions. It leverages the CICIDS2018 dataset to classify traffic as normal ...

Although machine learning (ML) techniques have advanced malware ... examples using GANs, then optimizes them through a GA to maximize evasion and minimize noise. Experiments on the VirusShare and ...

Cybercriminals are constantly finding new ways to steal your data. As people become ... hackers are using USB drives to spread malware in ways that can easily bypass traditional security systems.

AML Checker detection and analysis tools for cryptocurrency transactions using machine learning and blockchain data. Ensuring compliance and reducing money laundering risks.

"Machine learning algorithms can label data much faster than ... making fraud detection more efficient." The method combines two strategies: an ensemble of three unsupervised learning techniques using ...

The primary goal is to address challenges in multiclass data preparation and evaluate the best machine learning models using both micro and macro accuracy ... Data preparation flow diagram. In machine ...