LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems

arXiv:2404.16870v1 Announce Type: new
Abstract: Intrusion detection systems (IDS) for the Internet of Things (IoT) systems can use AI-based models to ensure secure communications. IoT systems tend to have many connected devices producing massive amounts of data with high dimensionality, which requires complex models. Complex models have notorious problems such as overfitting, low interpretability, and high computational complexity. Adding model complexity penalty (i.e., regularization) can ease overfitting, but it barely helps interpretability and computational efficiency. Feature engineering can solve these …

arxiv can communications connected connected devices cs.ai cs.cr cs.lg data detection devices engineering feature high ids internet internet of things intrusion intrusion detection intrusion detection systems iot novel producing secure communications systems things