Tag: UNSW-NB15

Researchers in Algeria have combined convolutional neural networks with a Swin Transformer to detect network intrusions with up to 99.69 ...

Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent classification accuracy and ...

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

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