"Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat ..."

Tommaso Zoppi et al. (2021)

> Home

Details and statistics

DOI: 10.1145/3441140

access: closed

type: Journal Article

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tdasci/ZoppiCCB21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tdasci/ZoppiCCB21
Tommaso Zoppi, Andrea Ceccarelli, Tommaso Capecchi, Andrea Bondavalli:
Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape. Trans. Data Sci. 2(2): 7:1-7:26 (2021)

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.