Using Channel State Information for Physical Tamper Attack Detection in OFDM Systems: A Deep Learning Approach.
Eshagh DehmollaianBernhard EtzlingerNúria Ballber TorresAndreas SpringerPublished in: IEEE Wirel. Commun. Lett. (2021)
Keyphrases
- deep learning
- attack detection
- ofdm system
- fading channels
- orthogonal frequency division multiplexing
- unsupervised learning
- intrusion detection system
- multiple input multiple output
- estimation algorithm
- machine learning
- wireless communication
- channel estimation
- multipath
- bit error rate
- intrusion detection
- recursive least squares
- computer simulation
- peer to peer
- supervised learning
- semi supervised