Tag: intrusion detection

Researchers have developed ADLM-TiM, a hybrid deep learning and Transformer model that detects advanced persistent threats in highly imbalanced network ...

An open-source simulation framework called DDoSimu5G generates precisely labeled DDoS attack datasets inside a simulated 5G network, giving machine-learning intrusion ...

Researchers at Guizhou Power Grid show that a compact large language model grounded in a digital power grid knowledge base ...

Researchers at Manipur University have developed EF²RB, an ensemble feature selection framework that boosts IoT intrusion detection accuracy to between ...

Researchers have developed an autonomous blockchain-based system that improves intrusion detection accuracy while cutting latency and energy consumption in fog ...

Researchers in India have developed BiPC-IFS, a few-shot class-incremental learning framework that lets intrusion detection systems learn new cyberattacks from ...