Enhanced feature selection and ensemble learning for cardiovascular disease prediction: hybrid GOL2-2 T and adaptive boosted decision fusion with babysitting …
Introduction Global Cardiovascular disease (CVD) is still one of the leading causes of death
and requires the enhancement of diagnostic methods for the effective detection of early …
and requires the enhancement of diagnostic methods for the effective detection of early …
Adaptive Optimization of Deep Learning Models on AES based Large Side Channel Attack Data
Deep learning-based side-channel analysis is an efficient and suitable technique for
profiling side-channel attacks. In order to obtain the better performance, it is highly …
profiling side-channel attacks. In order to obtain the better performance, it is highly …
Design of Deep Learning Techniques for Side-Channel Attacks on Masked 128-bit AES Implementations
Researchers are exploring the use of convolutional neural networks (CNNs) in side-channel
attacks to understand the weaknesses in cryptographic implementation. CNNs can learn …
attacks to understand the weaknesses in cryptographic implementation. CNNs can learn …
[PDF][PDF] Design of Deep Learning Technique Based Side Channel Attack Analysis for System on Chips
The effectiveness of deep learning techniques has increased in recent years, making it
possible to assess side channel attacks on System-on-Chips (SoCs). Specifically, this is due …
possible to assess side channel attacks on System-on-Chips (SoCs). Specifically, this is due …
[引用][C] Implementation of Machine Learning Techniques for Risks Evaluation in Cloud and Cybersecurity
S Aamer Fadhil, L Emad Kadhim… - … of Computing and …, 2024 - University of Bahrain
[引用][C] Design of Time-Delay Convolutional Neural Networks (TDCNN) Model for Feature Extraction for Side-Channel Attacks
A Abbas Ahmed, M Kamrul Hasan… - … of Computing and …, 2024 - University of Bahrain