Publisher
Springer Science and Business Media LLC
Reference34 articles.
1. Alsaedi A, Moustafa N, Tari Z et al (2020) Ton_iot telemetry dataset: A new generation dataset of iot and iiot for data-driven intrusion detection systems. IEEE Access 8:165130–165150
2. Altaf T, Wang X, Ni W et al (2023) NE-GConv: A lightweight node edge graph convolutional network for intrusion detection. Comput Secur 130(103):285
3. Cheng Q, Wu C, Zhou S (2021) Discovering attack scenarios via intrusion alert correlation using graph convolutional networks. IEEE Commun Lett 25(5):1564–1567
4. Dai H, Dai B, Song L (2016) Discriminative embeddings of latent variable models for structured data. In: International conference on machine learning. PMLR, pp 2702–2711
5. Duan G, Lv H, Wang H et al (2022) Application of a dynamic line graph neural network for intrusion detection with semisupervised learning. IEEE Trans Inf Forensics Secur 18:699–714