"Using Channel State Information for Physical Tamper Attack Detection in ..."

Eshagh Dehmollaian et al. (2021)

> Home

Details and statistics

DOI: 10.1109/LWC.2021.3072937

access: closed

type: Journal Article

metadata version: 2021-09-16

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/wcl/DehmollaianETS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/wcl/DehmollaianETS21
Eshagh Dehmollaian, Bernhard Etzlinger, Núria Ballber Torres, Andreas Springer:
Using Channel State Information for Physical Tamper Attack Detection in OFDM Systems: A Deep Learning Approach. IEEE Wirel. Commun. Lett. 10(7): 1503-1507 (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.