Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM
Crossref DOI link: https://doi.org/10.1007/s10489-021-02205-9
Published Online: 2021-02-24
Published Print: 2021-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Binbusayyis, Adel https://orcid.org/0000-0001-9683-2175
Vaiyapuri, Thavavel
Funding for this research was provided by:
Prince Sattam bin Abdulaziz University (2018/01/9397)
Text and Data Mining valid from 2021-02-24
Version of Record valid from 2021-02-24
Article History
Accepted: 7 January 2021
First Online: 24 February 2021