Impersonation Attack Detection in IoT Networks
Author:
Affiliation:
1. School of IT, Deakin University,Geelong,VIC,Australia,3220
2. Qilu University of Technology and National Supercomputer Center,Jinan,China
3. La Trobe University,Melbourne,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001392.pdf?arnumber=10001392
Reference25 articles.
1. SLoRa
2. Intrusion Detection for IoT Devices based on RF Fingerprinting using Deep Learning
3. Deep-Learning-Aided RF Fingerprinting for NFC Security
4. IMPACT: Impersonation Attack Detection via Edge Computing Using Deep Autoencoder and Feature Abstraction
5. Impersonation attacks on software-only two-factor authentication schemes
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