Side-channel attacks represent a realistic and serious threat to the security of embedded
devices for already almost three decades. A variety of attacks and targets they can be …

Side Channel Analysis (SCA) presents a clear threat to privacy and security in modern
computing systems. The vast majority of communications are secured through cryptographic …

Profiling side-channel analysis (SCA) is widely used to evaluate the security of
cryptographic implementations under worst-case attack scenarios. This method assumes a …

Deep learning has been utilized as a promising technique in side-channel attacks. However,
to recover keys successfully, deep-learning side-channel attacks often require thousands of …

The advancements in Cyber-Physical Systems (CPSs) have also increased their
vulnerability to various cyber-attacks. Therefore, it is crucial to develop strong cybersecurity …

The security and privacy of modern computing devices have become an important design
metric with the unprecedented increase in the amount of personal information stored in the …

Side channel attacks are a serious threat to integrated circuits. They are hardly detectable
and use inherent information leaked by the hardware to infer sensitive information like secret …

Deep Learning (DL)-based side-channel analysis (SCA), as a new branch of SCA attacks,
poses a significant privacy and security threat to implementations of cryptographic …

The deep learning-based profiling attacks have received significant attention for their
potential against masking-protected devices. Currently, additional capabilities like exploiting …

Supervised deep learning has emerged as an effective tool for carrying out power side-
channel attacks on cryptographic implementations. While increasingly-powerful deep …