"Synthetic and privacy-preserving traffic trace generation using generative ..."

Giuseppe Aceto et al. (2024)

> Home

Details and statistics

DOI: 10.1016/J.JNCA.2024.103926

access: closed

type: Journal Article

metadata version: 2024-07-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jnca/AcetoGGIPPP24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jnca/AcetoGGIPPP24
Giuseppe Aceto, Fabio Giampaolo, Ciro Guida, Stefano Izzo, Antonio Pescapè, Francesco Piccialli, Edoardo Prezioso:
Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems. J. Netw. Comput. Appl. 229: 103926 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.