A CNN-Transformer model with post-quantization compression is presented for detecting network attacks in cooperative smart farming, with claimed accuracies up to 97% on proprietary testbed data.
World population growth,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming
A CNN-Transformer model with post-quantization compression is presented for detecting network attacks in cooperative smart farming, with claimed accuracies up to 97% on proprietary testbed data.