Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong performance in classifying device behaviors and detecting botnet activity.

Introduction In the rapidly evolving landscape of cybersecurity, the integration of Artificial Intelligence (AI) has emerged ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

A trial using sonar and artificial intelligence to detect crocodiles is due to begin within 12 months. The Far North Queensland project aims to protect people in waterways from crocodile attacks. A ...

The United States hopes to use machine learning to create and distribute propaganda overseas in a bid to “influence foreign target audiences” and “suppress dissenting arguments,” according to a U.S.

A Cairns company will develop and test sonar and artificial intelligence (AI) crocodile detection technology in Far North Queensland waterways to provide real-time warnings of potential threats. The ...

The U.S. Cybersecurity & Infrastructure Security Agency (CISA) is warning of hackers exploiting an arbitrary code execution flaw in the Git distributed version control system. The agency has added the ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

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