"An unsupervised anomaly detection engine with an efficient feature set for ..."

Mohammad K. Houri Zarch et al. (2013)

> Home

Details and statistics

DOI: 10.1109/ISCISC.2013.6767334

access: closed

type: Conference or Workshop Paper

metadata version: 2020-04-13

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iscisc/ZarchABM13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iscisc/ZarchABM13
Mohammad K. Houri Zarch, Masih Abedini, Mehdi Berenjkoub, Amin Mirhosseini:
An unsupervised anomaly detection engine with an efficient feature set for AODV. ISCISC 2013: 1-6

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.