Abstract The convergence of Industrial Control Systems (ICS) and intelligent Internet of
Things (IoT) technologies has rendered ICS more vulnerable to a growing range of cyber …

The leakage signals, including electromagnetic, energy, time, and temperature, generated
during the operation of password devices contain highly correlated key information, which …

Depending on a device's encryption mechanism, a wide variety of tangible details could be
exposed. These leaks are used in side-channel analysis, which is used to get keys. Due to …

The first non-profiled side-channel attack (SCA) method using deep learning is Timon's
Differential Deep Learning Analysis (DDLA). This method is effective in retrieving the secret …

Neural network (NN) accelerators are now extensively utilized in a range of applications that
need a high degree of security, such as driverless cars, NLP, and image recognition. Due to …

In recent years, profiled side-channel attacks have emerged as a particularly potent kind of
side-channel attack that can circumvent cryptographic equipment's security. Convolutional …

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 …

This research proposes a novel model combining LSTM, ResNet, and attention mechanisms
for early warning signals of stock crises. The model integrates stock return time series data …

The use of machine learning algorithms in order to, not only, detect the adversarial intend
behind side-channel attacks on cryptographic systems, but also to resist Differential Power …

Researchers are exploring the use of convolutional neural networks (CNNs) in side-channel
attacks to understand the weaknesses in cryptographic implementation. CNNs can learn …