Abstract: In real classification scenarios, the number distribution of modeling samples is usually out of proportion. Most of the existing classification methods still face challenges in comprehensive ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Threat actors have been observed leveraging malicious dropper apps masquerading as legitimate applications to deliver an Android SMS stealer dubbed Wonderland in mobile attacks targeting users in ...