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Found 4 papers, 0 papers with code
Learning from Power Signals: An Automated Approach to Electrical Disturbance Identification Within a Power Transmission System
This work presents an automated approach for analyzing power quality events recorded by digital fault recorders and power quality monitors operating within a power transmission system.
Assessing Adversarial Replay and Deep Learning-Driven Attacks on Specific Emitter Identification-based Security Approaches
Specific Emitter Identification (SEI) detects, characterizes, and identifies emitters by exploiting distinct, inherent, and unintentional features in their transmitted signals.
An Investigation into the Impacts of Deep Learning-based Re-sampling on Specific Emitter Identification Performance
Increasing Internet of Things (IoT) deployments present a growing surface over which villainous actors can carry out attacks.
Improving RF-DNA Fingerprinting Performance in an Indoor Multipath Environment Using Semi-Supervised Learning
SEI is advantageous because it is a passive technique that exploits inherent and distinct features that are unintentionally added to the signal by the IoT Radio Frequency (RF) front-end.
