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IEEE4d
Anomaly Detection in Cyber-Physical Systems Using Long-Short Term Memory Autoencoders: A Case Study with Man-in-the-Middle (MiTM) Attack
This study proposes a Long Short-Term Memory (LSTM) autoencoder-based approach to detect Man-in-the-Middle (MiTM) attacks in power systems by leveraging multi-sensor temporal datasets [1].
IEEE6d
AutoEffFusionNet: A New Approach for Cervical Cancer Diagnosis Using ResNet-Based Autoencoder With Attention Mechanism and Genetic Feature Selection
Abstract: Cervical cancer poses a significant global health challenge, necessitating accurate and efficient diagnostic solutions. This study introduces a novel hybrid framework, AutoEffFusionNet, that ...