An Enhancement Method in Few-Shot Scenarios for Intrusion Detection in Smart Home Environments
Yajun Chen,
Junxiang Wang,
Tao Yang
et al.
Abstract:Different devices in the smart home environment are subject to different levels of attack. Devices with lower attack frequencies confront difficulties in collecting attack data, which restricts the ability to train intrusion detection models. Therefore, this paper presents a novel method called EM-FEDE (enhancement method based on feature enhancement and data enhancement) to generate adequate training data for expanding few-shot datasets. Training intrusion detection models with an expanded dataset can enhance… Show more
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