Tag: intrusion detection

Researchers have developed an order-preserving framework based on intuitionistic fuzzy soft sets, order-isomorphism, and topological sorting that improves the accuracy ...

A new study shows that adaptively fusing a closed-world classifier with an unsupervised open-set detector significantly improves detection of zero-day ...

Researchers in Beijing have built a 0.27-megabyte transformer model that detects multi-stage APT attacks in industrial IoT telemetry with high ...

Researchers have built ChatTracer, a lightweight intrusion detection framework that fine-tunes a compact large language model to classify wireless sensor ...

A Nature Food Perspective drawing on a workshop series of more than 150 stakeholders proposes a land-grant university-led Agricultural Cybersecurity ...

Researchers have developed an immune cooperative hybrid breeding optimization algorithm that selects features more effectively for intrusion detection, outperforming 13 ...

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 ...